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Savvy, talented and knowledgeable database professionals are always in demand. This article covers some of the best, most in-demand certifications for database administrators, database developers and anyone else who works with databases. 

During the past three decades, we’ve seen a lot of database platforms come and go, but there’s never been any question that database technology is a crucial component for all kinds of applications and computing tasks. 

Database certifications may not be as sexy or bleeding-edge as cloud computing, storage, or computer forensics. That said, there has been and always will be a need for knowledgeable database professionals at all levels and in a plethora of database-related job roles. 

To get a better grasp of the available database certifications, it’s useful to group these certs around job responsibilities. In part, this reflects the maturity of database technology and its integration into most aspects of commercial, scientific and academic computing. As you read about the various database certification programs, keep these job roles in mind: 

  • Database administrator (DBA): Responsible for installing, configuring and maintaining a database management system (DBMS). Often tied to a specific platform such as Oracle, MySQL, DB2 or SQL Server. 
  • Database developer: Works with generic and proprietary APIs to build applications that interact with a DBMS (also platform-specific, like DBA roles).
  • Database designer/database architect: Researches data requirements for specific applications or users, and designs database structures and application capabilities to match.
  • Data analyst/data scientist: Responsible for analyzing data from multiple disparate sources to discover previously hidden insight, determine meaning behind the data and make business-specific recommendations.
  • Data mining/business intelligence (BI) specialist: Specializes in dissecting, analyzing and reporting on important data streams, such as customer data, supply chain data, and transaction data and histories.
  • Data warehousing specialist: Specializes in assembling and analyzing data from multiple operational systems (orders, transactions, supply chain information, customer data, etc.) to establish data history, analyze trends, generate reports and forecasts, and support general ad hoc queries. 

Careful attention to these database job roles highlights two important technical issues for would-be database professionals to consider. 

First, a good general background in relational database management systems, including an understanding of Structured Query Language (SQL), is a basic prerequisite for database professionals of all stripes. 

Second, although various efforts to standardize database technology exist, much of the whiz-bang capability that databases and database applications deliver come from proprietary, vendor-specific technologies. Serious, heavy-duty database skills and knowledge are tied to specific platforms, including various Oracle products (such as the open-source MySQL environment and Oracle itself,) Microsoft SQL Server and IBM DB2. That’s why most of these certifications relate directly to those enormously popular platforms. 

It’s important to note that NoSQL databases – referred to as “not only SQL” and sometimes “non-relational” databases – handle many different types of data, such as structured, semi-structured, unstructured and polymorphic. NoSQL databases are increasingly used in big data applications, which tend to be associated with certifications for data scientists, data mining and warehousing, and business intelligence. Although there is some natural overlap, for the most part, we cover those certs in our annually updated “Best Big Data Certifications.” 

Before you look at our featured certifications in detail, consider their popularity with employers. The results of an informal search on several high-traffic job boards show which database certifications employers look for most when hiring. Though these results vary from day to day (and by job board), such numbers provide a useful perspective on database certification demand in current job listings.

Job board search results (in alphabetical order by certification)*

Certification

SimplyHired 

 Indeed 

 LinkedIn Jobs 

 LinkUp 

Total

IBM Certified Database Administrator – DB2

463

607

845

747

2,662

Microsoft SQL Server database certifications**

1,661

1,955

1,259

1,373

6,248

Oracle Certified Professional, MySQL Database Administrator

205

342

182

142

871

Oracle Database 12c Administrator

235

295

695

214

1,439

SAP HANA

101

150

84

80

415

*See our complete methodology for selecting top five certifications in the “Best Certifications” series.

**Combined totals for MCSA: SQL Database Administration (540), MCSA: SQL Database Development (569), MCSE: Data Management and Analytics (640) and MTA: Database (503).

If the sheer number of available database-related positions isn’t enough motivation to pursue a certification, consider average salaries for database administrators. SimplyHired reports $86,415 as the national average in the U.S., in a range from $60,960 to over $128,000. Glassdoor’s reported average is somewhat higher at $93,164, with a top rung for experienced, senior DBAs right around $135,000.

Top 5 database certifications

Now let’s look at the details of our top five database certification picks for 2020.

1. IBM Certified Database Administrator – DB2

IBM is one of the leaders in the worldwide database market by any objective measure. The company’s database portfolio includes industry standard DB2, as well as IBM Compose, Information Management System (IMS), lnformix, Cloudant and IBM Open Platform with Apache Hadoop. IBM also has a long-standing and well-populated IT certification program, which has been around for more than 30 years and encompasses hundreds of individual credentials. 

After redesigning its certification programs and categories, IBM’s major data-centric certification category is called IBM Data and AI, which includes a range of database credentials: Database Associate, Database Administrator, System Administrator, Application Developer and more. It’s a big and complex certification space, but one where particular platform allegiances are likely to guide readers straight to the handful of items that are relevant to their interests and needs. 

Database professionals who support DB2 (or aspire to) on Linux, Unix or Windows should check out the IBM Certified Database Administrator – DB2 certification. It’s an intermediate credential that addresses routine administration, basic SQL, and creation of databases and database objects, as well as server management, monitoring, availability and security. 

This certification requires candidates to pass two exams. Pre-exam training is recommended but not required.

IBM Certified Database Administrator – DB2 facts and figures

Certification name

IBM Certified Database Administrator – DB2 11.1 (Linux, UNIX and Windows)

Prerequisites and required courses

None required; recommended courses available

Number of exams

Two exams: IBM DB2 11.1 DBA for LUW (exam C2090-600) (60 questions, 90 minutes)

plus

DB2 11.1 Fundamentals for LUW (exam C2090-616) (63 questions, 90 minutes)

Cost per exam

$200 (or local currency equivalent) per test ($400 total). Sign up for exams at Pearson VUE.

URL

https://www.ibm.com/certify/cert?id=08002109

Self-study materials

Each test webpage provides test objectives, suggested training courses and links to study guides for sale through MC Press. Click the test Preparation tab for detailed information. You can also visit the Prepare for Your Certification Exam webpage.

2. Microsoft SQL Server database certifications 

SQL Server offers a broad range of tools and add-ons for business intelligence, data warehousing and data-driven applications of all kinds. That probably explains why Microsoft offers database-related credentials at every level of its certification program. 

Microsoft has taken significant steps over the last year to change its certification program from technology-focused to role-centric, centered on the skills one needs to be successful in specific technology jobs. With these changes in mind, Microsoft now identifies four job tracks in its certification program: Developers, Administrators, Solution Architects and Functional Consultants. You will find a wide variety of skills and technologies within each of those categories, but we’ll concentrate below on the company’s SQL Server certifications.

MTA: Database Fundamentals

The MTA program includes a single database-related exam: Database Fundamentals (98-364). This credential is ideal for students or as an entry-level cert for professionals looking to segue into database support.

MCSA

Microsoft offers several SQL-related credentials at the Microsoft Certified Solutions Associate (MCSA) level:

  • MCSA: SQL Server 2012/2014 (three exams)
  • MCSA: BI Reporting (two exams)
  • MCSA: SQL 2016 BI Development (two exams)
  • MCSA: SQL 2016 Database Administration (two exams)
  • MCSA: SQL 2016 Database Development (two exams)

MCSE

There is one SQL database credential at the Microsoft Certified Solutions Expert level: Data Management and Analytics. This certification has the MCSA as a prerequisite (a list of valid items follows in the table) and then requires passing one elective exam.

Microsoft SQL Server database certification facts and figures

Certification name

MTA: Database Fundamentals

MCSA: SQL Server 2012/2014

MCSA: BI Reporting 

MCSA: SQL 2016 BI Development

MCSA: SQL 2016 Database Administration

MCSA: SQL 2016 Database Development

MCSE: Data Management and Analytics

Prerequisites and required courses  

No prerequisites:

MTA: Database Fundamentals

MCSA: SQL Server 2012/2014

MCSA: BI Reporting

MCSA: SQL 2016 BI Development

MCSA: SQL 2016 Database Administration

MCSA: SQL 2016 Database Development

MCSE Data Management and Analytics prerequisites (only one required):

MCSA: SQL Server 2012/2014

MCSA: SQL 2016 BI Development

MCSA: SQL 2016 Database Administration

MCSA: SQL 2016 Database Development

MCSA: Machine Learning

MCSA: BI Reporting

MCSA: Data Engineering with Azure

Training courses are available and recommended for all certifications but not required.

Number of exams

MTA: Database Fundamentals: One exam

  • Database Fundamentals (98-364)

MCSA: BI Reporting: Two exams

  • Analyzing and Visualizing Data with Power BI (70-778)
  • Analyzing and Visualizing Data with Microsoft Excel (70-779)

MCSA: SQL Server: Three exams

  • Querying Microsoft SQL Server 2012/2014 (70-461)
  • Administering Microsoft SQL Server 2012/2014 Databases (70-462)  
  • Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 (70-463

MCSA: SQL 2016 BI Development: Two exams

  • Implementing a SQL Data Warehouse (70-767)
  • Developing SQL Data Models (70-768) 

MCSA: SQL 2016 Database Administration: Two exams

  • Administering a SQL Database Infrastructure (70-764)
  • Provisioning SQL Databases (70-765) 

MCSA: SQL 2016 Database Development: Two exams

  • Querying Data with Transact-SQL (70-761)
  • Developing SQL Databases (70-762) 

MCSE: Data Management and Analytics: One test (from the following)

  • Developing Microsoft SQL Server Databases (70-464)
  • Designing Database Solutions for Microsoft SQL Server (70-465)
  • Implementing Data Models and Reports with Microsoft SQL Server (70-466)
  • Designing Business Intelligence Solutions with Microsoft SQL Server (70-467)
  • Developing SQL Databases (70-762)
  • Implementing a Data Warehouse Using SQL (70-767)
  • Developing SQL Data Models (70-768)
  • Analyzing Big Data with Microsoft R (70-773)
  • Implementing Microsoft Azure Cosmos DB Solutions (70-777

All exams administered by Pearson VUE.

Cost per exam

MTA: $127 (or equivalent in local currency outside the U.S.)

MCSA/MCSE: $185 (or equivalent) per exam

URL

www.microsoft.com/learning/en-us/certification-overview.aspx

Self-study materials

Microsoft offers one of the world’s largest and best-known IT certification programs, so the MTA, MCSA and MCSE certs are well supported with books, study guides, study groups, practice tests and other materials.

3. Oracle Certified Professional, MySQL 5.7 Database Administrator 

Oracle runs its certifications under the auspices of Oracle University. The Oracle Database Certifications page lists separate tracks for Database Application Development (SQL and PL/SQL), MySQL (Database Administration and Developer) and Oracle Database (versions 12c, 12c R2, and 11g, and Oracle Spatial 11g). 

MySQL is perhaps the leading open-source relational database management system (RDBMS). Since acquiring Sun Microsystems in 2010 (which had previously acquired MySQL AB), Oracle has rolled out a paid version of MySQL and developed certifications to support the product. 

A candidate interested in pursuing an Oracle MySQL certification can choose between MySQL Database Administration and MySQL Developer. The Oracle Certified Professional, MySQL 5.7 Database Administrator (OCP) credential recognizes professionals who can install, optimize and monitor MySQL Server; configure replication; apply security; and schedule and validate database backups. 

The certification requires candidates to pass a single test (the same test can be taken to upgrade a prior certification). Oracle recommends training and on-the-job experience before taking the exam.

Oracle Certified Professional, MySQL 5.7 Database Administrator facts and figures

4. Oracle Database 12c Administrator

Most Oracle DBMS credentials require candidates to attend authorized training classes to qualify for the related exam, but MySQL (and Sun-derived) credentials often do not. Oracle certifications also represent a true ladder, in that it is generally necessary to earn the associate-level credentials first, professional-level credentials second and master-level credentials third, culminating with the expert level. 

Oracle Database 12c R2 is the latest version, which includes enhancements to Oracle Database 12c. Oracle 12c certifications are currently offered at the associate, professional and master levels. 

A Foundations Junior Associate certification (novice level) is also available for Oracle Database 12c, as are three specialist designations: the Implementation Specialist, the Oracle Database Performance and Tuning 2015 Certified Implementation Specialist, and the Oracle Real Application Clusters 12c Certified Implementation Specialist. 

Available expert-level credentials include the Oracle Certified Expert; Oracle Database 12c: RAC and Grid Infrastructure Administrator; Oracle Database 12c Maximum Availability Certified Expert; Oracle Certified Expert; Oracle Database 12c: Data Guard Administrator; Oracle Certified Expert; and Oracle Database 12c: Performance Management and Tuning. Oracle still offers 11g certifications as well. 

NoteAlthough premium support for Oracle 11g Database ended on Dec. 31, 2014, extended support lasts until December 2020, so it’s probable that Oracle Database 11g will remain in use for the short term. 

We focused on requirements for Oracle Database 12c certifications. One important consideration is that Oracle 11g is forward-compatible with Oracle 12c, but Oracle 12c is not backward- compatible with the prior version. Because Oracle 12c is a newer version, IT professionals with Oracle 11g certifications should consider upgrading their 11g credentials.

Oracle Database 12c Administrator facts and figures

Certification name

Oracle Database 12c Administrator Certified Associate (OCA 12c)

Oracle Database 12c Administrator Certified Professional (OCP 12c)

Oracle Database 12c Administrator Certified Master (OCM 12c)

Oracle Database 12c Maximum Availability Certified Master

Prerequisites and required courses

OCA 12c: Training recommended but not required

OCP 12c: OCA 12c credential and one training course required; complete course submission form

OCM 12c: OCP 12c or 12c R2 credential and two advanced training courses (must be different from the course used to achieve the OCP); complete course submission form; submit fulfillment kit request

Oracle Database 12c Maximum Availability Certified Master: Three credentials

  • Oracle Database 12c Administrator Certified Master
  • Oracle Certified Expert, Oracle Database 12c: RAC and Grid Infrastructure Administration
  • Oracle Certified Expert, Oracle Database 12c: Data Guard Administration

Oracle training: Classes typically run 2-5 days; costs range from $1,360 to over $5,580.

Number of exams

 OCA 12c: Choose one test from the following:

  • Oracle Database 12c SQL (1Z0-071) (73 questions, 100 minutes)
  • Oracle Database 12c: Installation and Administration (1Z0-062) (67 questions, 120 minutes)

OCP 12c: One exam: Oracle Database 12c: Advanced Administration (1Z0-063) (80 questions, 120 minutes)

OCM 12c: One exam: Oracle Database 12c Certified Master (12COCM), a two-day, performance-based exam

Oracle Database 12c Maximum Availability Certified Master: None

Cost per exam

OCA 12c: 1Z0-071and 1Z0-062 cost $245 each.

OCP 12c: 1Z0-063, 1Z0-082 and 1Z0-083 cost $245 each

OCM 12c: 12COCM costs $2,584; contact Oracle for pricing/availability of upgrade exam.

Oracle Database 12c Maximum Availability Certified Master: None

Note: Prices vary by geography.

URL

https://education.oracle.com/pls/web_prod-plq-dad/ou_product_category.getFamilyPage?p_family_id=32&p_mode=Certification

Self-study materials

Each Oracle certification test webpage lists test Topics as well as recommended training courses, seminars and practice tests. A variety of self-study guides are available on Amazon. Oracle Database certification candidates benefit from student manuals, labs and software provided as part of class offerings.

5. SAP HANA: SAP Certified Technology Associate – SAP HANA (Edition 2016)

SAP SE has a large portfolio of business application and analytics software, including cloud infrastructure, applications, and storage. The foundation of the SAP HANA platform is an enterprise-grade relational database management system, which can be run as an appliance on premises or in the cloud. The cloud platform enables customers to build and run applications and services based on SAP HANA. 

SAP offers a comprehensive certification program, built to support its various platforms and products. We chose to feature the SAP Certified Technology Associate – SAP HANA cert because it aligns closely with other certifications in this article and is in high demand among employers, according to our job board surveys. This certification ensures that database professionals can install, manage, monitor, migrate and troubleshoot SAP HANA systems. It covers managing users and authorization, applying security, and ensuring high availability and effective disaster recovery techniques. 

SAP recommends that certification candidates get hands-on practice through formal training or on-the-job experience before attempting this exam. The SAP Learning Hub is a subscription service that gives certification candidates access to a library of learning materials, including e-learning courses and course handbooks. The annual subscription rate for individual users on the Professional certification track is $3,048. This online training program is designed for those who run, support or implement SAP software solutions. Though this may seem like a steep price for online training, you will likely be able to pass any SAP certification exams you put your mind to by leveraging all of the learning resources available to SAP Learning Hub Professional subscribers. 

Typically, SAP certifications achieved on one of the two most latest SAP solutions are considered current and valid. SAP contacts professionals whose certifications are nearing end of life and provides information on maintaining their credentials.

SAP Certified Technology Associate facts and figures

Certification name

SAP Certified Technology Associate – SAP HANA (Edition 2016)

Prerequisites  and required courses        

 None required

 Recommended: SAP HANA Installation & Operations SPS12 (HA200) course ($3,750)

Number of exams

One exam: SAP Certified Application Associate – SAP HANA (Edition 2016), test code C_HANATEC_12 (80 questions, 180 minutes)

Cost per exam

$552

URL

https://training.sap.com/certification/c_hanatec_12-sap-certified-technology-associate—sap-hana-edition-2016-g/

Self-study materials

The certification webpage includes a link to demo questions. SAP HANA trade books and certification guides are available on Amazon. The SAP Help Center offers product documentation and a training and certification FAQs page. The SAP Learning Hub (available on a subscription basis) provides access to online learning content.

Beyond the top 5: More database certifications

Besides the ones mentioned in this article, other database certification programs are available to further the careers and professional development of IT professionals who work with database management systems. 

While most colleges with computer science programs offer database tracks at the undergraduate, master and Ph.D. levels, there are few well-known vendor-neutral database certifications. The Institute for the Certification of Computing Professionals (ICCP) is part of this unique group, offering its Certified Data Professional and Certified Data Scientist credentials. Find out more about ICCP certifications here

EnterpriseDB administers a small but effective certification program, with two primary certs: the EDB Certified Associate and the EDB Certified Professional. PostgreSQL was the fourth-ranked relational database management system in October 2019, according to DB-Engines

Credentials from GoogleMarkLogicTeradata and SAS may also be worth considering. All of these credentials represent opportunities for database professionals to expand their skill sets – and salaries. However, such niches in the database certification arena are generally only worth pursuing if you already work with these platforms or plan to work for an organization that uses them. 

Ed Tittel

Ed is a 30-year-plus veteran of the computing industry, who has worked as a programmer, a technical manager, a classroom instructor, a network consultant, and a technical evangelist for companies that include Burroughs, Schlumberger, Novell, IBM/Tivoli and NetQoS. He has written for numerous publications, including Tom’s IT Pro and GoCertify, and is the author of more than 140 computing books on information security, web markup languages and development tools, and Windows operating systems. 

Earl Follis

Earl is also a 30-year veteran of the computer industry, who has worked in IT training, marketing, technical evangelism, and market analysis in the areas of networking and systems technology and management. Ed and Earl met in the late 1980s when Ed hired Earl as a trainer at an Austin-area networking company that’s now part of HP. The two of them have written numerous books together on NetWare, Windows Server and other topics. Earl is also a regular writer for the computer trade press, with many e-books, whitepapers and articles to his credit.

Mon, 10 Oct 2022 12:01:00 -0500 en text/html https://www.businessnewsdaily.com/10734-database-certifications.html
Killexams : What the GRE Test Is and How to Prepare No result found, try new keyword!Biology. It focuses on three aspects of biology, each of which provides the basis for roughly a third of the questions on the exam: cellular and molecular biology; evolution and ecology ... Mon, 25 Jun 2018 03:17:00 -0500 text/html https://www.usnews.com/education/best-graduate-schools/articles/what-the-gre-test-is-and-how-to-prepare Killexams : International Business Machines Corp

52 week range

114.56 - 144.73

  • Open121.80
  • Day High122.88
  • Day Low121.43
  • Prev Close120.04
  • 52 Week High144.73
  • 52 Week High Date06/06/22
  • 52 Week Low114.56
  • 52 Week Low Date11/26/21
  • Market Cap109.754B
  • Shares Out903.18M
  • 10 Day Average Volume4.46M
  • Dividend6.60
  • Dividend Yield5.43%
  • Beta0.83
  • YTD % Change-9.08

KEY STATS

  • Open121.80
  • Day High122.88
  • Day Low121.43
  • Prev Close120.04
  • 52 Week High144.73
  • 52 Week High Date06/06/22
  • 52 Week Low114.56
  • 52 Week Low Date11/26/21
  • Market Cap109.754B
  • Shares Out903.18M
  • 10 Day Average Volume4.46M
  • Dividend6.60
  • Dividend Yield5.43%
  • Beta0.83
  • YTD % Change-9.08

RATIOS/PROFITABILITY

  • EPS (TTM)6.42
  • P/E (TTM)18.92
  • Fwd P/E (NTM)12.46
  • EBITDA (TTM)11.935B
  • ROE (TTM)27.73%
  • Revenue (TTM)59.677B
  • Gross Margin (TTM)54.01%
  • Net Margin (TTM)9.61%
  • Debt To Equity (MRQ)259.21%

EVENTS

  • Earnings Date10/19/2022
  • Ex Div Date08/09/2022
  • Div Amount1.65
  • Split Date-
  • Split Factor-

Thu, 13 Oct 2022 11:59:00 -0500 en text/html https://www.cnbc.com/quotes/IBM
Killexams : IBM Teams With 20 Historically Black Colleges and Universities to Address Cybersecurity Talent Shortage

During the National HBCU Week Conference convened by the U.S. Department of Education and the White House, IBM (NYSE: IBM) announced its collaboration with 20 Historically Black Colleges and Universities (HBCUs) to help them establish Cybersecurity Leadership Centers.

With 500,000 unfilled cybersecurity jobs in the U.S., the need for expertise is critical: According to a latest IBM Security study, insufficiently staffed organizations average $550,000 more in breach costs than those that state they are sufficiently staffed.

“Collaborations between academia and the private sector can help students prepare for success. That’s especially true for HBCUs because their mission is so vital,” said Justina Nixon-Saintil, vice president, IBM Corporate Social Responsibility and ESG, according to a press release.

“The Cybersecurity Leadership Centers we’re co-creating with Historically Black College and Universities epitomize our commitment to the Black community and STEM education; it also builds on our pledge to train 150,000 people in cybersecurity over three years.”

IBM will collaborate with the following 20 HBCUs across 11 states to co-create Cybersecurity Leadership Centers, helping to create talent for employers and opportunities for students. (Six of these collaborations were previously announced in May*)

– Alabama – Alabama A&M UniversityTalladega CollegeTuskegee University.

– Florida – Edward Waters University, Florida A&M University.

– Georgia – Albany State UniversityClark Atlanta University*.

– Louisiana – Grambling State UniversitySouthern University System*, Xavier University of LA*.

– Maryland – Bowie State UniversityMorgan State University*.

– Mississippi – Alcorn State University.

– North Carolina – North Carolina A&T State University*, North Carolina Central University.

– South Carolina – South Carolina State University*, Voorhees University.

– Texas – Texas Southern University.

– Virginia – Norfolk State University.

– West Virginia – West Virginia State University.

Through IBM’s collaboration, faculty and students at participating schools will have access to coursework, lectures, immersive training experiences, certifications, IBM Cloud-hosted software, and professional development resources, all at no cost to them. This includes access to:

– Cybersecurity curricula: IBM will develop for each participating HBCU, a customized IBM Security Learning Academy portal – an IBM client offering – including courses designed to help the university enhance its cybersecurity education portfolio. In addition, IBM will continue to provide access to IBM SkillsBuild.

– Immersive learning experience: Faculty and students of participating HBCUs will have an opportunity to benefit from IBM Security’s Command Center, through which they can experience a highly realistic, simulated cyberattack, designed to prepare them and train them on response techniques. Moreover, HBCUs’ faculty will have access to consultation sessions with IBM technical personnel on cybersecurity.

– Software: Multiple IBM Security premier enterprise security products hosted in the IBM Cloud.

– Professional development: Forums to exchange best practices, learn from IBM experts, and discover IBM internships and job openings.

About IBM Education

As part of the company’s Corporate Social Responsibility efforts, IBM’s education portfolio takes a personalized, diverse, and deep approach to STEM career readiness. IBM’s pro bono programs range from education and support for teens at public schools and universities, to career readiness resources for aspiring professionals and job seekers. IBM believes that education is best achieved through the collaboration of the public, private, and not-for-profit sectors.

IBM SkillsBuild is a free education program focused on underrepresented communities, that helps adult learners, and high school and university students and faculty, develop valuable new skills and access career opportunities. The program includes an online platform that is complemented by customized practical learning experiences delivered in collaboration with a global network of partners. The online platform offers over 1,000 courses in 19 languages on cybersecurity, data analysis, cloud computing and many other technical disciplines — as well as in workplace skills such as Design Thinking. Most important, participants can earn IBM-branded digital credentials that are recognized by the market. The customized practical learning experiences could include project-based learning, expert conversations with IBM volunteers, mentors, premium content, specialized support, connection with career opportunities, access to IBM software, among others. As of February 2022, IBM SkillsBuild operates in 159 counties and is supporting 1.72 million learners since its launch.

About IBM Security

IBM Security offers one of the most advanced and integrated portfolios of enterprise security products and services. The portfolio, supported by world-renowned IBM Security X-Force® research, enables organizations to effectively manage risk and defend against emerging threats. IBM operates one of the world’s broadest security research, development, and delivery organizations, monitors 150 billion plus security events per day in more than 130 countries, and has been granted more than 10,000 security patents worldwide. For more information, please check www.ibm.com/security, follow @IBMSecurity on Twitter or visit the IBM Security Intelligence blog.

Sat, 24 Sep 2022 00:46:00 -0500 en-US text/html https://www.blackenterprise.com/ibm-teams-with-20-historically-black-colleges-and-universities-to-address-cybersecurity-talent-shortage/
Killexams : x86 Server Market Huge Growth by 2022 to 2028 with Leading Players | HP, Dell, IBM

The MarketWatch News Department was not involved in the creation of this content.

Oct 03, 2022 (Heraldkeepers) -- The global x86 Server Market report offers the complete market share, size, and the growth rate of different segments at both the country and regional levels. It provides an in-depth study of the market subtleties such as the current trends, drivers, opportunities, and even the restraining factors. The report also highlights the qualitative aspects in the study. Additionally, the unit takes in the key findings, in terms of market overview and investment prospects. The market report also involves the competitive landscape containing the profiles of top ten major players in the industry. The frontrunners have been thoroughly assessed based on their revenue size, service/product portfolio, regional presence, key plans & policies, and overall contribution to the growth of the market.

The x86 Server Market is expected to grow at a CAGR of 6.5% during the forecast period 2022-2028.

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Top key players: HP, Dell, IBM, Oracle, Fujitsu, Cisco, NEC, SGI, Lenovo, Huawei, Inspur, Power Leader, Sugon, ASUS, Gigabyte, Supermicro, MSI, Foxconn, Intel, ASRock, Mitac, EVGA, Biostar, Loongson, Giadatech, J&W Group & Others.

According to the report, increasing adoption of x86 Server Market is contributing to the growth of the hops extract market through 2028. The demand for hops extract is increasing continuously and the complex process of extraction increases turnaround time for hops extract. Adaptation of new technology will provide thrust to the production process of hops extract, and help to fulfil the increasing demand for hops extract in 2022 and beyond.

Global x86 Server Market Split by Product Type and Applications

This report segments the x86 Server Market on the basis of Types:
General Purpose Server, Dedicated Server

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Enterprise, Personal, Others

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Obtain Premium Research Report Details, Considering the impact of COVID-19 @
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This report will drive companies present in this market. Outstanding players in the market are studied through a full analysis of the company profile, product portfolio, production and manufacturing capabilities, technology and product development, and revenue estimation. The global x86 Server Market is highly integrated as there are many companies across this industry. The report then explains the current market conditions, past performance, demand and supply graphs, sales networks, and distribution channels for these companies.

x86 Server Market is split by Type and by Application. For the period 2017-2028, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

The years examined in this study are the following to estimate the x86 Server Market size:

History Year: 2015-2019
Base Year: 2021
Estimated Year: 2022
Forecast Year: 2022 to 2028

Reasons Why You Should Buy This Report:

1.To gain an in-depth understanding of x86 Server Market
2.To obtain research-based business decisions and add weight to presentations and marketing strategies
3.To gain competitive knowledge of leading market players
4.It gives pin point investigation of changing rivalry elements and keeps you in front of contenders.
5.It helps in settling on educated business choices by having total bits of knowledge of market and by making inside and out investigation of market sections.

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The research illuminates many elements of the market and provides answers to the following questions::

1.Who is our ideal customer?
2.What do they struggle with?
3.What does your ideal customer really WANT?
4.What makes them choose your competitors over you?

Table of Contents:

1 x86 Server Market Overview
2 Company Profiles
3 x86 Server Market Competition, by Players
4 x86 Server Market Size Segment by Type
5 x86 Server Market Size Segment by Application
6 North America by Country, by Type, and by Application
7 Europe by Country, by Type, and by Application
8 Asia-Pacific by Region, by Type, and by Application
9 South America by Country, by Type, and by Application
10 Middle East & Africa by Country, by Type, and by Application
11 Research Findings and Conclusion
12 Appendix…

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The post x86 Server Market Huge Growth by 2022 to 2028 with Leading Players | HP, Dell, IBM appeared first on Herald Keeper.

COMTEX_415843477/2582/2022-10-03T19:57:24

Is there a problem with this press release? Contact the source provider Comtex at editorial@comtex.com. You can also contact MarketWatch Customer Service via our Customer Center.

The MarketWatch News Department was not involved in the creation of this content.

Mon, 03 Oct 2022 11:57:00 -0500 en-US text/html https://www.marketwatch.com/press-release/x86-server-market-huge-growth-by-2022-to-2028-with-leading-players-hp-dell-ibm-2022-10-03
Killexams : NTA UGC NET 2022 test Important Topics: Questions have come from these Subjects!

NTA UGC NET 2022 test Important Topics: Get an idea of the questions and topic-wise weightage of the UGC NET phase 2 exam. Know about the subject-wise good attempts and questions asked in UGC NET paper 1.

UGC NET 2022 test Important Topics

NTA UGC NET 2022 test Important Topics: The National Testing Agency has concluded the UGC NET 2022 paper 1 examination today. The paper 1 test was conducted in the first shift from 9 am to 12 pm. The UGC NET paper 1 test was compulsory for all the candidates who have filled the application form.

Whereas, paper 2 is going to be an optional paper and shall be held in the second shift from 3 pm to 6 pm. Paper 2 is going to be having around 12 subjects and candidates have the right to choose the same at the time of filling out the application form. 

Talking about the UGC NET examination held today, the level of the examination was easy to moderate. The written test had 100 questions from different subjects. The questions asked were objective in nature. Candidates have to simply mark the correct answer among the available option. As per the student’s review, the overall good attempt for today’s test can lie anywhere between 60 to 65 questions. 

The NTA shall be conducting the third phase of the UGC NET 2022 examination from 29-Sep-2022 to 14-Oct-2022. Candidates going to appear in phase 3 can check out this article till the end for more insights. 

UGC NET Important Dates

The candidates can check out the UGC NET 2022 important dates for the different events in the table below. 

UGC NET Events

Exam Dates

Notification

30-Apr-2022

Application process

30-Apr-2022 to 30-May-2022 (

UGC NET Application correction window

21-May-2022 to 01-Jun-2022 

UGC NET Phase 1 Admit card

07-Jul-2022 - 08-Jul-2022

UGC NET Phase 2 Admit card

16-Sep-2022

Phase 3 Admit card

To be Announced soon

UGC NET test date for Phase 1

09-Jul-2022

11-Jul-2022

12-Jul-2022

UGC NET test date for Phase 2

12-Aug-2022 to 14-Aug-2022

20-Sep-2022 to 23-Sep-2022

UGC NET test date for Phase 3

29-Sep-2022 to 14-Oct-2022

UGC NET Provisional answer key

To be announced

UGC NET Submission of challenges against answer key

To be announced

UGC NET Final answer key and cut off

To be announced

UGC NET Result

To be announced

UGC NET 2022 test Pattern 

  • The examination is being conducted in CBT mode. 
  • The questions asked in the examination are objective in nature.
  • The maximum marks for paper 1 are going to be 100 marks and the second paper will account for 200 marks. 
  • Each question asked in today’s examination is going to account for 2 marks. There is no mention of negative marking for questions that are marked wrongly. 
  • Paper 1 was compulsory for all the students whereas paper 2 is going to be based on the subject chosen by the candidates. 

Sections

Maximum questions

Maximum marks

Duration

Teaching Aptitude

5

10

1 hour

Research Aptitude

5

10

Reading Comprehension

5

10

Communication

5

10

Reasoning (including Maths)

5

10

Logical Reasoning

5

10

Data Interpretation

5

10

Information & Communication Technology (ICT)

5

10

People & Environment

5

10

Higher Education System: Governance, Polity & Administration

5

10

Total

50

100

Paper II

100

200

2 hours

UGC NET 2022 Phase-2 Important Topics

As per the experts, the UGC NET examination held today was of easy to moderate level. The subject-wise Topics and questions asked in today’s test were at par with the ones asked in all the shifts asked earlier. Go through the table below to know about the subject-wise difficulty level and good attempts; 

Subject Name

Difficulty Level

Good Attempts

Teaching Aptitude

Moderate to Difficult

6-7

-Environment

Moderate

6-7

Higher Education

Moderate to Difficult

2-3

Research Aptitude

Easy to Moderate

4-5

Data Interpretation

Moderate

3-4

Maths/Reasoning

Moderate

2-3

Communication

Moderate

3-4

Information Technology

Moderate

1-2

Comprehension

Easy to Moderate

1-2

Logical Reasoning

Moderate

2-3

UGC NET 2022 Questions Asked

UGC NET paper 1 examination today was conducted in the first shift from 9 am to 12 am. The following section consists of the basic highlights related to the same. The UGC NET test was conducted in the computer-based test format. The questions asked were from the syllabus prescribed by the UGC earlier. All of the questions asked in the paper were compulsory in nature. Candidates have to attempt the same on their own likings. 

Subject Name

UGC NET Question Asked

Teaching Aptitude

MOOC

Swayam

CBCS

Bloom

Taxanomy

Learner Characteristics

Environment

Protocols

SDGs and MDGs

Niti Aayog

Protocols

CITES

Earthquake

Solar Energy

Higher Education

Swayam

Credits

NEP 2020

Establishment Years

E-governance

Ranking

Research Aptitude

Collective Communication

Barriers of Communication

Mass media

Data Interpretation

Easy Ratio

Ratio & Average Related

Maths/Reasoning

Percentage 

Profit and Loss

Communication

Scales

Sampling

Information Technology

Search Engine

Odd one out on

Conceptual 

Memory related questions

ROM

EPROM

Full forms

Types of Extension

Comprehension

Question based on reading Comprehension

Passages

Precise Writing

Logical Reasoning

Pramana

Structure

Logic

Sushrut

Samhita

Astra

Creative Knowledge

Fallacies

Square of Opposition

The UGC NET (National Eligibility Test) is conducted annually for those who wish to work as a JRF (Junior Research Fellow) and Assistant Professors in different universities. Based on the marks secured in the examination, the candidates get an appointment as an Assistant Professor in any of the public or private universities of India.

Thu, 22 Sep 2022 08:00:00 -0500 text/html https://www.jagranjosh.com/articles/nta-ugc-net-2022-exam-important-topics-questions-have-come-from-these-subjects-1663852363-1
Killexams : Are you smarter than a Year 12 student? Try these HSC test questions </head> <body id="readabilityBody" readability="27.956867196368"> <h3>Newscorp Australia are trialling new security software on our mastheads. If you receive "Potential automated action detected!" please try these steps first:</h3> <ol type="1"> <li>Temporarily disable any AdBlockers / pop-up blockers / script blockers you have enabled</li> <li>Add this site in to the allowed list for any AdBlockers / pop-up blockers / script blockers you have enabled</li> <li>Ensure your browser supports JavaScript (this can be done via accessing <a href="https://www.whatismybrowser.com/detect/is-javascript-enabled" target="_blank">https://www.whatismybrowser.com/detect/is-javascript-enabled</a> in your browser)</li> <li>Ensure you are using the latest version of your web browser</li> </ol> <p>If you need to be unblocked please e-mail us at accessissues@news.com.au and provide the IP address and reference number shown here along with why you require access. News Corp Australia.</p><p>Your IP address is: 108.167.164.204 | Your reference number is: 0.87382f17.1666047143.2f6f97a</p> </body> </description> <pubDate>Mon, 10 Oct 2022 15:44:00 -0500</pubDate> <dc:format>text/html</dc:format> <dc:identifier>https://www.news.com.au/lifestyle/parenting/school-life/are-you-smarter-than-a-year-12-student-try-these-hsc-exam-questions/news-story/165c426d4278f5e2abce91389fdec082</dc:identifier> </item> <item> <title>Killexams : What is Kyndryl? IBM’s managed infrastructure services spin-off explained

Kyndryl claims to be the world’s largest IT infrastructure provider. A division of IBM until November 2021, it is now a separate company. Initially, little changed for customers — except perhaps the logo on their invoice — but with time, Kyndryl is taking advantage of its freedom from IBM to introduce new services and work with new partners.

What does Kyndryl do?

Essentially, Kyndryl does exactly what the managed infrastructure services unit of IBM’s Global Technology Services segment did: outsource the management of enterprises’ IT infrastructure, whether it came from IBM or another vendor.

Under IBM’s stewardship, the activities since moved to Kyndryl were in slow decline, from $21.8 billion in annual revenue in 2018 down 7% to $20.28 billion in 2019, and down 4.6% to $19.35 billion in 2020, according to IBM filings with the SEC. That hasn’t changed since the split: Kyndryl’s first full-year filing as an independent company, barely two months after the separation, showed 2021 revenue down a further 4%, to $18.66 billion. The decline continued into 2022, with first quarter revenue down 7% year on year, and the second quarter down 10%.

However, Kyndryl is beginning to develop new services, and is forming partnerships in a bid to grow its revenue. It estimates that the $415 billion market opportunity it addresses is growing at 7% a year, with some areas it is targeting (including security, intelligent automation and public cloud managed services) growing even faster.

Kyndryl has organized itself into six global managed services practices, each of which manages a different aspect of technology. These are:

  • Applications, data and AI
  • Cloud
  • Core enterprise and zCloud, IBM’s mainframe-as-a-service offering
  • Digital workplace
  • Network and edge
  • Security and resiliency

There is also a customer advisory practice that combines managed services, advisory services, and implantation.

In September 2022, Kyndryl also launched two new branded services, Bridge and Vital. The company calls Kyndryl Bridge an open integration platform, an operational monitoring system, somewhat like HPE GreenLake or IBM vCenter, that Kyndryl staff will connect to an enterprise’s existing IT infrastructure to help CIOs keep ahead of problems. Kyndryl Vital is essentially a design workshop, during which Kyndryl consultants work alongside an enterprise’s employees to prototype applications.

Who are Kyndryl’s partners?

At the moment of their split, Kyndryl and IBM were one another’s biggest suppliers, and that will remain true for the time being. But Kyndryl is free to independently explore, with no preference for IBM’s software and services.

Kyndryl named Microsoft its first cloud infrastructure partner in November 2021, announcing a similar partnership with Google the following month. But it took it until February 2022 to form a pact with Amazon Web Services.

IBM had partnerships with numerous software providers, and Kyndryl inherited or expanded some of those, including with Elastic, Lenovo, SAP, ServiceNow, and VMware.

Kyndryl has also formed new partnerships, including with Cisco Systems, Citrix, Cloudera, Dynatrace, EY, Field Safe Solutions, NetApp, Nokia, Oracle, Pure Storage, IBM subsidiary Red Hat, Teradata and Veritas Technologies. These partnerships expand Kyndryl’s repertoire when it comes to integrating products and services into Bridge, or incorporating them into co-creations with Vital.

How big is Kyndryl?

Kyndryl started with 4,600 customers (including 75 of the Fortune 100), over a quarter of IBM’s 350,000 staff, activities generating around $19 billion in annual revenue and an order backlog (or long-term maintenance contracts from all those customers) of around $62 billion. Where that puts Kyndryl in the rankings depends on what you’re measuring. Kyndryl says it’s the world’s largest IT infrastructure provider, although IT channel publication CRN says it’s only the fifth-largest solutions provider, a much broader category, behind Accenture, what’s left of IBM, DXC Technology, and Tata Consulting Services.

Is Kyndryl hiring?

Like crazy! Kyndryl hired over a dozen top executives in 2021, and by the end of the year had 88,683 employees. Although its hiring in the US has slowed, it had 1,141 lower-level job openings posted at press time, over half of them in the EU, with other significant concentrations in India and Japan. Half the openings are for technical specialists, with more than 100 openings in systems architecture and an emphasis on automation.

Who works at Kyndryl?

Most staff at Kyndryl simply changed email addresses, carrying on doing the same work for clients as they did at IBM before the split. Indeed, Kyndryl went out of its way to reassure customers that their key points of contact and support, and the other team members they work with, would not change, and that the company continues to work with experts in other divisions of IBM as it did before.

But the company brought in new blood for many of the most senior roles, either hiring in from other companies, or poaching from other divisions of IBM. CEO Martin Schroeter is ex-IBM, in fact. He left the company in June 2020, before the spin-off was announced, and came back to lead Kyndryl, then known as NewCo, in January 2021. He was previously SVP of global markets at IBM, and before that its CFO.

The next senior appointments, in March 2021, were chief marketing officer Maria Bartolome Winans, who came to the spin-off directly from her role as CMO for IBM Americas, and group president Elly Keinan, another former IBMer who took time out to work in venture capital after 33 years at the company.

Global head of corporate affairs Una Pulizzi was also a new hire in April 2021, previously in a similar role at GE, while general counsel Edward Sebold was chief legal officer for IBM’s Watson Health division.

Poaching of more senior IBMers continued in early May 2021. Chief transformation officer Nelly Akoth was previously with IBM Global Business Services; Leigh Price moved from one leadership role in strategy and corporate development to another; and Vineet Khurana became controller at Kyndryl after five years in three different CFO roles at IBM. Kyndryl’s global alliances and partnerships leader Stephen Leonard held a number of positions at IBM, most recently as general manager of the Power Systems division.

It wasn’t until the second half of May 2021 that Kyndryl began to name its top technical staff: CIO Michael Bradshaw is new to IBM, having previously served as CIO at NBC/Universal and as CIO for Mission Systems and Training at Lockheed Martin. CTO Antoine Shagoury is a former CIO of US bank State Street and of stock exchanges in London and the US. Most recently, he worked at strategic advisory partnership Ridge-Lane.

Other senior Kyndryl hires from outside IBM include Vic Bhagat, a former CIO for Verizon Enterprise Solutions, EMC, and several units of GE as the head of its customer advisory practice, and COO Harsh Chugh, most recently CFO at SaaS provider PlanSource.

Who is on Kyndryl’s board?

To provide the new company with more stability, Kyndryl’s board of directors will serve overlapping three-year terms through 2027, so it’ll take at least two elections for an outside group to take control of the board.

Kyndryl’s first 10 directors are:

  • CEO Martyn Schroeter, board chairman
  • Stephen Hester, lead independent director. He was CEO of RSA Insurance Group until June 2021, and is chairman of easyJet
  • Dominic Caruso, retired Johnson &amp; Johnson CFO
  • John Harris, former VP of business development for Raytheon and board member at Cisco Systems
  • Shirley Ann Jackson, president of Rensselaer Polytechnic Institute
  • Janina Kugel, former CHRO and member of the managing board of German industrial conglomerate Siemens
  • Denis Machuel, CEO of temporary staffing firm Adecco
  • Rahul Merchant, former head of technology at retirement fund TIAA, Fannie Mae, and Merrill Lynch, and current board member at Convergint Technologies, Global Cloud Exchange, Juniper Networks, and Emulex
  • Jana Schreuder, retired COO of Northern Trust and current board member at Entrust Datacard and Blucora
  • Howard Ungerleider, president and CFO of commodity chemicals company Dow

What does Kyndryl’s split mean for IBM?

IBM is still one of the biggest technology businesses in the world. Its separation from Kyndryl freed it from a legacy business that wasn’t growing, and enabled it to reorganize into three main operating segments now called Software, Consulting (formerly Global Business Services), and Infrastructure. It’s doing well post-split: For the full year 2021 revenue from Software rose 5.3% to $24.1 billion, and Consulting made $17.8 billion, up 9.8%, although revenue from Infrastructure, the segment Kyndryl was spun out of, fell 2.4% to $14.2 billion. Those trends, both positive and negative, continued through the first half of 2022.

Customer needs for application services and infrastructure services are diverging, and so spinning off Kyndryl will allow IBM to focus on growing its open hybrid cloud platform and AI capabilities, IBM CEO Arvind Krishna said in October 2020. The split turns IBM from a services-led company to one making more than half its revenue from software and solutions.

But until that growth takes hold, Kyndryl and IBM remain close, as they began their separate lives as one another’s largest customers.

Thu, 14 Oct 2021 14:03:00 -0500 en-US text/html https://www.cio.com/article/189224/what-is-kyndryl-ibms-managed-infrastructure-services-spin-off-explained.html
Killexams : An INK-redible way to cheat! Spanish law student etched answers to test questions onto his pens

An INK-redible way to cheat! Spanish law student etched answers to test questions onto his pens

  • University of Malaga revealed the pens confiscated during a law exam
  • The student had etched answers to the Criminal Procedural Law test on biros 
  • The ruse was exposed and the pens were seized but many praised the audacity 

A mischievous Spanish law student went to extreme lengths to cheat on his exams by etching answers on to his pens, his teacher has revealed.

Yolanda de Lucchi, a professor at the University of Malaga, showed the pens she and her colleagues confiscated during the test.

She displayed the 11 pens, each with tiny writing etched across the plastic body of the blue biros, in a post on Twitter.

A mischievous Spanish law student went to extreme lengths to cheat on his exams by etching answers on to his pens, his teacher has revealed

Ms De Lucchi said the pens were confiscated during an test on Criminal Procedural Law.

The crafty student was exposed a number of years back but the teacher rediscovered the offending items while cleaning out her drawer.

She posted on Twitter: 'The criminal procedural law in BIC pens. What art!

'Cheat sheets aren't like they used to be.' 

A close-up of the pens shows the incredible detail of the ruse, with tiny letters filling every available space.

One Twitter user who replied to the teacher claimed to be a friend of the cheating student.

The crafty student was exposed a number of years back but the teacher rediscovered the offending items while cleaning out her drawer

Gonzo said: 'Hello Yolanda. I know the author of that wonderful work perfectly. In fact, he has authorized me, ignoring his name, logically, to show you some more that he still keeps at home. 

'The technique used by the artist, as he himself tells me, was to replace the graphite lead of a mechanical pencil with a needle, which made it super easy for him to etch the pen.'

Gonzo then showed off a number of photos of the biros modified over the years.

De Lucchi said: 'That could not happen today.

'Now students would not make an effort to have such a detailed cheat sheet for an exam. 

'They live at the click of a button, by what happens instantly; that is impossible to see today.'

Advertisement
Thu, 13 Oct 2022 00:05:00 -0500 text/html https://www.dailymail.co.uk/news/article-11310991/Cheating-Spanish-law-student-etched-answers-exam-questions-pens.html
Killexams : New standards set for Cloud Natural Language Processing Market grow at 15.16% CAGR| 120 Report Pages

The MarketWatch News Department was not involved in the creation of this content.

Sep 28, 2022 (The Expresswire) -- The global Cloud Natural Language Processing market size is expected to expand at a CAGR of 15.16% during the forecast period, reaching USD 5289.6 million by 2027 was valued at USD 2268.2 million in 2021.

Cloud Natural Language Processing Market report gives an impression of the various developments, open doors, and division patterns in the business as well as the competitive landscape. The 120 Pages report thought regarding current and historical market trends and growth as an establishment for esteeming industry possibilities. The review is a point by point assessment of numerous critical components that impact the Cloud Natural Language Processing market development. SWOT examination, the development pace of every district, identifying patterns in light of information, and local market investigation. The study includes market share analysis and profiles of players such as Interactions LLC, Baidu Inc., Lexalytics Inc., 3M Company, Amazon Web Services, Convergys Corporation, Apple Inc, Digital Reasoning Systems Inc., IBM Corporation, SAS Institute Inc., Nuance Communications, Microsoft Corporation, HP Enterprise, SAP SE, Facebook Inc., Netbase Solution, Google Inc., Fuji Xerox, Dolbey Systems Inc., Verint Systems Inc.

Get a demo PDF of report @ https://www.360marketupdates.com/enquiry/request-sample/21534810

Cloud Natural Language Processing Market Overviwe:

The global Cloud Natural Language Processing market size was valued at USD 2268.2 million in 2021 and is expected to expand at a CAGR of 15.16% during the forecast period, reaching USD 5289.6 million by 2027.

Cloud technology in NLP. Natural language processing (NLP) is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

Market split by Type, can be divided into: -

● Rulebased ● Statistical ● Hybrid

Market split by Application, can be divided into: -

● Information Extraction ● Machine Translation ● Processing and Visualization ● Question Answering

Major Key Players of the Market:

● Interactions LLC ● Baidu Inc. ● Lexalytics Inc. ● 3M Company ● Amazon Web Services ● Convergys Corporation ● Apple Inc ● Digital Reasoning Systems Inc. ● IBM Corporation ● SAS Institute Inc. ● Nuance Communications ● Microsoft Corporation ● HP Enterprise ● SAP SE ● Facebook Inc. ● Netbase Solution ● Google Inc. ● Fuji Xerox ● Dolbey Systems Inc. ● Verint Systems Inc.

The Cloud Natural Language Processing Market report explains what the market is all about, the market prognosis, several segmentations, and everything that falls under the market’s umbrella. It also looks at major and secondary market drivers, market share, potential sales volume, regional analysis, and the Cloud Natural Language Processing market’s key segments. The research additionally incorporates key factors that add to the market's development as well as components that would smother the market's development.

Feel Free to Ask Question before Purchasing the Report at https://www.360marketupdates.com/enquiry/pre-order-enquiry/21534810

The report contains the SWOT analysis of the Global Cloud Natural Language Processing Size and Forecast Market. It covers the conclusion part where the opinions of the industrial experts are included. This report has over a dozen market forecasts on the industry, and several companies, including total sales, operating expenses, attractive investment opportunities, and others. Also, contain the latest technology, economic factors, and Cloud Natural Language Processing market trends that influence the growth of the industry.

Points Covered in the Report:

1. The points that are chatted within the report are the main global Cloud Natural Language Processing size and forecast market players. 2. The complete profile of the companies is stated. 3. Revenue, gross margin, growth rate, sales volume, future strategies, and technological developments are also included in the report. 4. The growth factors of the Cloud Natural Language Processing market are discussed in detail. 5. In an effective market strategy; key players can earn huge profits by making the right investments in the market. 6. The keyword market driving factors, industry volume, overview, and share.

Key Questions Answered in this Report:

1. Which critical factors are accountable for the healthy growth of the global Cloud Natural Language Processing market? 2. Which are the top players functioning in the Cloud Natural Language Processing market across the world? 3. Which product segment of the global market for Cloud Natural Language Processing is projected to grow at a fast step throughout the forecast period? 4. What is the position of the competitive scenario of the global Cloud Natural Language Processing market? 5. What are the valued figures affecting to the overall market in the coming few years? 6. What is the projected size and share of the global Cloud Natural Language Processing market throughout the forecast period? 7. Which are the leading geographical segments of the global Cloud Natural Language Processing market?

To Know How Covid-19 Pandemic Will Impact This Market

Main Points from Table of Contents :

1 Cloud Natural Language Processing Market Overview
1.1 Product Overview and Scope of Cloud Natural Language Processing Market
1.2 Cloud Natural Language Processing Market Segment by Type
1.2.1 Global Cloud Natural Language Processing Market Sales Volume and CAGR (%) Comparison by Type (2017-2027)
1.3 Global Cloud Natural Language Processing Market Segment by Application
1.3.1 Cloud Natural Language Processing Market Consumption (Sales Volume) Comparison by Application (2017-2027)
1.4 Global Cloud Natural Language Processing Market, Region Wise (2017-2027)
1.4.1 Global Cloud Natural Language Processing Market Size (Revenue) and CAGR (%) Comparison by Region (2017-2027)
1.4.2 United States Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.3 Europe Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.4 China Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.5 Japan Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.6 India Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.7 Southeast Asia Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.8 Latin America Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.4.9 Middle East and Africa Cloud Natural Language Processing Market Status and Prospect (2017-2027)
1.5 Global Market Size of Cloud Natural Language Processing (2017-2027)
1.5.1 Global Cloud Natural Language Processing Market Revenue Status and Outlook (2017-2027)
1.5.2 Global Cloud Natural Language Processing Market Sales Volume Status and Outlook (2017-2027)
1.6 Global Macroeconomic Analysis
1.7 The impact of the Russia-Ukraine war on the Cloud Natural Language Processing Market

2 Industry Outlook
2.1 Cloud Natural Language Processing Industry Technology Status and Trends
2.2 Industry Entry Barriers
2.2.1 Analysis of Financial Barriers
2.2.2 Analysis of Technical Barriers
2.2.3 Analysis of Talent Barriers
2.2.4 Analysis of Brand Barrier
2.3 Cloud Natural Language Processing Market Drivers Analysis
2.4 Cloud Natural Language Processing Market Challenges Analysis
2.5 Emerging Market Trends
2.6 Consumer Preference Analysis
2.7 Cloud Natural Language Processing Industry Development Trends under COVID-19 Outbreak
2.7.1 Global COVID-19 Status Overview
2.7.2 Influence of COVID-19 Outbreak on Cloud Natural Language Processing Industry Development

3 Global Cloud Natural Language Processing Market Landscape by Player
3.1 Global Cloud Natural Language Processing Sales Volume and Share by Player (2017-2022)
3.2 Global Cloud Natural Language Processing Revenue and Market Share by Player (2017-2022)
3.3 Global Cloud Natural Language Processing Average Price by Player (2017-2022)
3.4 Global Cloud Natural Language Processing Gross Margin by Player (2017-2022)
3.5 Cloud Natural Language Processing Market Competitive Situation and Trends
3.5.1 Cloud Natural Language Processing Market Concentration Rate
3.5.2 Cloud Natural Language Processing Market Share of Top 3 and Top 6 Players
3.5.3 Mergers and Acquisitions, Expansion

4 Global Cloud Natural Language Processing Sales Volume and Revenue Region Wise (2017-2022)
4.1 Global Cloud Natural Language Processing Sales Volume and Market Share, Region Wise (2017-2022)
4.2 Global Cloud Natural Language Processing Revenue and Market Share, Region Wise (2017-2022)
4.3 Global Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.4 United States Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.4.1 United States Cloud Natural Language Processing Market Under COVID-19
4.5 Europe Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.5.1 Europe Cloud Natural Language Processing Market Under COVID-19
4.6 China Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.6.1 China Cloud Natural Language Processing Market Under COVID-19
4.7 Japan Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.7.1 Japan Cloud Natural Language Processing Market Under COVID-19
4.8 India Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.8.1 India Cloud Natural Language Processing Market Under COVID-19
4.9 Southeast Asia Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.9.1 Southeast Asia Cloud Natural Language Processing Market Under COVID-19
4.10 Latin America Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.10.1 Latin America Cloud Natural Language Processing Market Under COVID-19
4.11 Middle East and Africa Cloud Natural Language Processing Sales Volume, Revenue, Price and Gross Margin (2017-2022)
4.11.1 Middle East and Africa Cloud Natural Language Processing Market Under COVID-19

5 Global Cloud Natural Language Processing Sales Volume, Revenue, Price Trend by Type
5.1 Global Cloud Natural Language Processing Sales Volume and Market Share by Type (2017-2022)
5.2 Global Cloud Natural Language Processing Revenue and Market Share by Type (2017-2022)
5.3 Global Cloud Natural Language Processing Price by Type (2017-2022)
5.4 Global Cloud Natural Language Processing Sales Volume, Revenue and Growth Rate by Type (2017-2022)
5.4.1 Global Cloud Natural Language Processing Sales Volume, Revenue and Growth Rate of Rulebased (2017-2022)
5.4.2 Global Cloud Natural Language Processing Sales Volume, Revenue and Growth Rate of Statistical (2017-2022)
5.4.3 Global Cloud Natural Language Processing Sales Volume, Revenue and Growth Rate of Hybrid (2017-2022)

6 Global Cloud Natural Language Processing Market Analysis by Application
6.1 Global Cloud Natural Language Processing Consumption and Market Share by Application (2017-2022)
6.2 Global Cloud Natural Language Processing Consumption Revenue and Market Share by Application (2017-2022)
6.3 Global Cloud Natural Language Processing Consumption and Growth Rate by Application (2017-2022)
6.3.1 Global Cloud Natural Language Processing Consumption and Growth Rate of Information Extraction (2017-2022)
6.3.2 Global Cloud Natural Language Processing Consumption and Growth Rate of Machine Translation (2017-2022)
6.3.3 Global Cloud Natural Language Processing Consumption and Growth Rate of Processing and Visualization (2017-2022)
6.3.4 Global Cloud Natural Language Processing Consumption and Growth Rate of Question Answering (2017-2022)

7 Global Cloud Natural Language Processing Market Forecast (2022-2027)
7.1 Global Cloud Natural Language Processing Sales Volume, Revenue Forecast (2022-2027)
7.1.1 Global Cloud Natural Language Processing Sales Volume and Growth Rate Forecast (2022-2027)
7.1.2 Global Cloud Natural Language Processing Revenue and Growth Rate Forecast (2022-2027)
7.1.3 Global Cloud Natural Language Processing Price and Trend Forecast (2022-2027)
7.2 Global Cloud Natural Language Processing Sales Volume and Revenue Forecast, Region Wise (2022-2027)
7.2.1 United States Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.2 Europe Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.3 China Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.4 Japan Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.5 India Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.6 Southeast Asia Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.7 Latin America Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.2.8 Middle East and Africa Cloud Natural Language Processing Sales Volume and Revenue Forecast (2022-2027)
7.3 Global Cloud Natural Language Processing Sales Volume, Revenue and Price Forecast by Type (2022-2027)
7.3.1 Global Cloud Natural Language Processing Revenue and Growth Rate of Rulebased (2022-2027)
7.3.2 Global Cloud Natural Language Processing Revenue and Growth Rate of Statistical (2022-2027)
7.3.3 Global Cloud Natural Language Processing Revenue and Growth Rate of Hybrid (2022-2027)
7.4 Global Cloud Natural Language Processing Consumption Forecast by Application (2022-2027)
7.4.1 Global Cloud Natural Language Processing Consumption Value and Growth Rate of Information Extraction(2022-2027)
7.4.2 Global Cloud Natural Language Processing Consumption Value and Growth Rate of Machine Translation(2022-2027)
7.4.3 Global Cloud Natural Language Processing Consumption Value and Growth Rate of Processing and Visualization(2022-2027)
7.4.4 Global Cloud Natural Language Processing Consumption Value and Growth Rate of Question Answering(2022-2027)
7.5 Cloud Natural Language Processing Market Forecast Under COVID-19

8 Cloud Natural Language Processing Market Upstream and Downstream Analysis
8.1 Cloud Natural Language Processing Industrial Chain Analysis
8.2 Key Raw Materials Suppliers and Price Analysis
8.3 Manufacturing Cost Structure Analysis
8.3.1 Labor Cost Analysis
8.3.2 Energy Costs Analysis
8.3.3 RandD Costs Analysis
8.4 Alternative Product Analysis
8.5 Major Distributors of Cloud Natural Language Processing Analysis
8.6 Major Downstream Buyers of Cloud Natural Language Processing Analysis
8.7 Impact of COVID-19 and the Russia-Ukraine war on the Upstream and Downstream in the Cloud Natural Language Processing Industry

9 Players Profiles
9.1 Interactions LLC
9.1.1 Interactions LLC Basic Information, Manufacturing Base, Sales Region and Competitors
9.1.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.1.3 Interactions LLC Market Performance (2017-2022)
9.1.4 latest Development
9.1.5 SWOT Analysis
9.2 Baidu Inc.
9.2.1 Baidu Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.2.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.2.3 Baidu Inc. Market Performance (2017-2022)
9.2.4 latest Development
9.2.5 SWOT Analysis
9.3 Lexalytics Inc.
9.3.1 Lexalytics Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.3.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.3.3 Lexalytics Inc. Market Performance (2017-2022)
9.3.4 latest Development
9.3.5 SWOT Analysis
9.4 3M Company
9.4.1 3M Company Basic Information, Manufacturing Base, Sales Region and Competitors
9.4.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.4.3 3M Company Market Performance (2017-2022)
9.4.4 latest Development
9.4.5 SWOT Analysis
9.5 Amazon Web Services
9.5.1 Amazon Web Services Basic Information, Manufacturing Base, Sales Region and Competitors
9.5.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.5.3 Amazon Web Services Market Performance (2017-2022)
9.5.4 latest Development
9.5.5 SWOT Analysis
9.6 Convergys Corporation
9.6.1 Convergys Corporation Basic Information, Manufacturing Base, Sales Region and Competitors
9.6.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.6.3 Convergys Corporation Market Performance (2017-2022)
9.6.4 latest Development
9.6.5 SWOT Analysis
9.7 Apple Inc
9.7.1 Apple Inc Basic Information, Manufacturing Base, Sales Region and Competitors
9.7.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.7.3 Apple Inc Market Performance (2017-2022)
9.7.4 latest Development
9.7.5 SWOT Analysis
9.8 Digital Reasoning Systems Inc.
9.8.1 Digital Reasoning Systems Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.8.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.8.3 Digital Reasoning Systems Inc. Market Performance (2017-2022)
9.8.4 latest Development
9.8.5 SWOT Analysis
9.9 IBM Corporation
9.9.1 IBM Corporation Basic Information, Manufacturing Base, Sales Region and Competitors
9.9.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.9.3 IBM Corporation Market Performance (2017-2022)
9.9.4 latest Development
9.9.5 SWOT Analysis
9.10 SAS Institute Inc.
9.10.1 SAS Institute Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.10.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.10.3 SAS Institute Inc. Market Performance (2017-2022)
9.10.4 latest Development
9.10.5 SWOT Analysis
9.11 Nuance Communications
9.11.1 Nuance Communications Basic Information, Manufacturing Base, Sales Region and Competitors
9.11.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.11.3 Nuance Communications Market Performance (2017-2022)
9.11.4 latest Development
9.11.5 SWOT Analysis
9.12 Microsoft Corporation
9.12.1 Microsoft Corporation Basic Information, Manufacturing Base, Sales Region and Competitors
9.12.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.12.3 Microsoft Corporation Market Performance (2017-2022)
9.12.4 latest Development
9.12.5 SWOT Analysis
9.13 HP Enterprise
9.13.1 HP Enterprise Basic Information, Manufacturing Base, Sales Region and Competitors
9.13.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.13.3 HP Enterprise Market Performance (2017-2022)
9.13.4 latest Development
9.13.5 SWOT Analysis
9.14 SAP SE
9.14.1 SAP SE Basic Information, Manufacturing Base, Sales Region and Competitors
9.14.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.14.3 SAP SE Market Performance (2017-2022)
9.14.4 latest Development
9.14.5 SWOT Analysis
9.15 Facebook Inc.
9.15.1 Facebook Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.15.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.15.3 Facebook Inc. Market Performance (2017-2022)
9.15.4 latest Development
9.15.5 SWOT Analysis
9.16 Netbase Solution
9.16.1 Netbase Solution Basic Information, Manufacturing Base, Sales Region and Competitors
9.16.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.16.3 Netbase Solution Market Performance (2017-2022)
9.16.4 latest Development
9.16.5 SWOT Analysis
9.17 Google Inc.
9.17.1 Google Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.17.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.17.3 Google Inc. Market Performance (2017-2022)
9.17.4 latest Development
9.17.5 SWOT Analysis
9.18 Fuji Xerox
9.18.1 Fuji Xerox Basic Information, Manufacturing Base, Sales Region and Competitors
9.18.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.18.3 Fuji Xerox Market Performance (2017-2022)
9.18.4 latest Development
9.18.5 SWOT Analysis
9.19 Dolbey Systems Inc.
9.19.1 Dolbey Systems Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.19.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.19.3 Dolbey Systems Inc. Market Performance (2017-2022)
9.19.4 latest Development
9.19.5 SWOT Analysis
9.20 Verint Systems Inc.
9.20.1 Verint Systems Inc. Basic Information, Manufacturing Base, Sales Region and Competitors
9.20.2 Cloud Natural Language Processing Product Profiles, Application and Specification
9.20.3 Verint Systems Inc. Market Performance (2017-2022)
9.20.4 latest Development
9.20.5 SWOT Analysis

10 Research Findings and Conclusion

11 Appendix
11.1 Methodology
11.2 Research Data Source

 

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To view the original version on The Express Wire visit New standards set for Cloud Natural Language Processing Market grow at 15.16% CAGR| 120 Report Pages

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