Pass4sure SPLK-3003 Splunk Core Certified Consultant exam exam prep

Our SPLK-3003 test prep dumps contain practice test as well as genuine SPLK-3003 questions. Splunk SPLK-3003 Real Exam Questions that we will give, will offer you SPLK-3003 test inquiries with confirmed responses that is a reproduction of a actual test. We at guarantee to have the most recent substance to empower you to breeze through your SPLK-3003 test with high scores.

Exam Code: SPLK-3003 Practice exam 2022 by team
SPLK-3003 Splunk Core Certified Consultant

EXAM NAME : Splunk Core Certified Consultant
Exam Description: The Splunk Core Certified Consultant certification exam is the final step in the Splunk Core Certified Consultant track. This highly technical certification exam is a 117-minute, 86-question assessment which evaluates a candidate’s knowledge and skills in Splunk Deployment Methodology and best-practices for planning, data collection, and sizing, managing, and troubleshooting a standard with indexer and search head clustering. Candidates can expect an additional 3 minutes to review the exam agreement, for a total seat time of 120 minutes. Candidates interested in this certification must complete the lecture, hands-on labs, and quizzes that are part of the Fundamentals 3, Creating Dashboards with Splunk, and Advanced Searching and Reporting courses by Splunk Education, the Indexer Cluster Implementation Lab, the Distributed Search Migration Lab, the Implementation Fundamentals Lab, the Architect Implementation Labs (1-3), as well as the Services: Core Implementation Instructor-Led Training course in order to be eligible for the certification exam. The prerequisite exams for this certification are Splunk Core Certified Power User, Splunk Enterprise Certified Admin, and Splunk Enterprise Certified Architect.

The following content areas are general guidelines for the content to be included on the exam:
● Splunk Validated Architectures
● Monitoring Console configuration
● Authentication Protocols
● Splunk to Splunk (S2S) Communication
● Data Inputs
● Forwarder Types
● HEC Tokens
● Fishbucket Records
● Pretrained Sourcetypes
● Indexing Buckets
● Event Processing
● Indexing Intervals
● Data Retention
● Search Head Dispatch
● Sub-searches
● Deployment Apps
● Deployment Server
● Indexer Clustering
● Upgrading an Indexer Cluster
● Indexer Cluster Failure Modes
● Multi-site Clustering
● Indexer Migration
● Search Head Clustering

1.0 Deploying Splunk 5%
1.1 Define Splunk Validated Architectures
1.2 Articulate how and why Splunk grows from standalone environment to distributed environment with indexer and Search Head clustering
1.3 Explain the difference between High Availability and Disaster Recovery and how both can be addressed in Splunk.

2.0 Monitoring Console 8%
2.1 Describe which instances are suitable to configure as the Monitoring Console
2.2 Articulate how to configure the MC for a single or distributed environment
2.3 Examine how the MC uses the server roles and groups
2.4 Describe how MC health checks are performed and can be extended.

3.0 Access and Roles 8%
3.1 Identify authentication methods
3.2 Describe LDAP concepts and configuration
3.3 List SAML and SSO options
3.4 Define roles and articulate how roles are used to secure data

4.0 Data Collection 15%
4.1 Articulate the different ways data can be ingested by an indexer
4.2 Articulate how one Splunk instance communicates with another Splunk instance (S2S)
4.3 Describe the types and configuration of data inputs
4.4 Describe ways to troubleshoot data inputs

5.0 Indexing 14%
5.1 List indexing artefacts and locations
5.2 Describe event processing and data pipelines
5.3 Describe the underlying text parsing and indexing process
5.4 List data retention controls

6.0 Search 14%
6.1 Describe how to use search job inspection, Explain the inner-workings of a search
6.2 List the different search types
6.3 Describe how to maximize search efficiency
6.4 Describe how sub-searches work

7.0 Configuration Management 8%
7.1 Describe a deployment app
7.2 Articulate how a Deployment Server works
7.3 Describe deployment system configuration
7.4 Articulate how to manage deployment Server

8.0 Indexer Clustering 18%
8.1 Describe deployment and component configuration
8.2 Describe the life cycle of data using buckets
8.3 Determine failure modes and recovery processes
8.4 Articulate how multi-site clustering works
8.5 List migration procedures

9.0 Search Head Clustering 10%
9.1 Articulate how to manage and deploy a Search Head cluster
9.2 Determine when a Search Head Cluster may be needed and when a Search Head Cluster would not be recommended
9.3 Describe content management using the Deployer
9.4 Describe the role of the cluster members and the Captain
9.5 Articulate how Captain election works (RAFT)

Splunk Core Certified Consultant
Splunk basics
Killexams : Splunk basics - BingNews Search results Killexams : Splunk basics - BingNews Killexams : When Splunk Inc (SPLK) Moves Investors should Listen

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

Jul 10, 2022 (Stock Traders Daily via COMTEX) -- Stock Traders Daily has produced this trading report using a proprietary method. This methodology seeks to optimize the entry and exit levels to maximize results and limit risk, and it is also applied to Index options, ETFs, and futures for our subscribers. This report optimizes trading in Splunk Inc (NASDAQ: SPLK) with integrated risk controls.


The trading plans were valid at the time this was published, but the support and resistance levels for SPLK change as time passes, and this should be updated in real time. Access those real time updates for this and 1000 other stocks here. Unlimited Real Time Reports

Protection from Market Crashes: Subscribers also get our Tail Risk hedge, Evitar Corte


Use the basic rules of Technical Analysis. Here are some examples: if SPLK is testing support the signal is to buy and target resistance. On the other hand, if resistance is tested, that is a sign to short, and target support. No matter which side the trade is, long or short, the trigger point is both a place to enter and as a risk control.

Swing Trades, Day Trades, and Longer term Trading Plans:

This data can be used to define Day Trading, Swing Trading, and Long Term Investing plans for SPLK too. All of these are offered here: Access our Real Time Trading Plans

Longer Term Trading Plans for SPLK

  • Buy SPLK over 90.28 target 112.08 stop loss @ 90.02
  • Short SPLK under 112.08, target 90.28, stop loss @ 112.4

Swing Trading Plans for SPLK

  • Buy SPLK over 112.08, target 134.02, Stop Loss @ 111.76
  • Short SPLK near 112.08, target 99.13, Stop Loss @ 112.4.

Day Trading Plans for SPLK

  • Buy SPLK over 112.08, target 134.02, Stop Loss @ 111.82
  • Short SPLK near 112.08, target 99.46, Stop Loss @ 112.34.

SPLK Technical Summary | Raw Data for the Trading Plans

Bias Weak Neutral Weak
P1 0 0 90.28
P2 93.17 91.39 112.08
P3 99.46 99.13 134.02


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

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

Sat, 09 Jul 2022 20:49:00 -0500 en-US text/html
Killexams : User Behavior Analytics Market with Tremendous growth by 2029 Bay Dynamics, Gurucul, Splunk

New Jersey, N.J., Aug 04, 2022 The User Behavior Analytics Market research report provides all the information related to the industry. It gives the outlook of the market by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This User Behavior Analytics market research report tracks all the recent developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.

User and Entity Analysis (UEBA), also known as User Behavior Analytics (UBA), is the process of gathering insight into the network events that users generate each day. Once collected and analyzed, it can be used to detect the use of compromised credentials, side traffic, and other malicious behavior. high growth in the use of behavioral analytics to prevent certain threats related to the industry of user and entity behavior analytics. The growing demand for real-time analytics and the lack of some trained professionals are fueling market growth.

Get the PDF sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

Competitive landscape:

This User Behavior Analytics research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.

Some of the Top companies Influencing this Market include:Bay Dynamics, Gurucul, Splunk, Securonix, Varonis, Exabeam, Aruba Networks, IBM, Dtex Systems, E8 Security, RSA Security, Palo Alto Networks, Rapid7,

Market Scenario:

Firstly, this User Behavior Analytics research report introduces the market by providing an overview which includes definition, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the User Behavior Analytics report.

Regional Coverage:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

  • North America
  • South America
  • Asia and Pacific region
  • Middle East and Africa
  • Europe

Segmentation Analysis of the market

The market is segmented on the basis of the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market

Market Segmentation: By Type

On-Premises, Cloud Based,

Market Segmentation: By Application

Financial Services & Insurance, Retail & E-Commerce, Energy & Utility, IT & Telecom, Healthcare, Defense & Government, Others,

For Any Query or Customization:

An assessment of the market attractiveness with regard to the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants present in the global User Behavior Analytics market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.

This report aims to provide:

  • A qualitative and quantitative analysis of the current trends, dynamics, and estimations from 2022 to 2029.
  • The analysis tools such as SWOT analysis, and Porter’s five force analysis are utilized which explain the potency of the buyers and suppliers to make profit-oriented decisions and strengthen their business.
  • The in-depth analysis of the market segmentation helps to identify the prevailing market opportunities.
  • In the end, this User Behavior Analytics report helps to save you time and money by delivering unbiased information under one roof.

Table of Contents

Global User Behavior Analytics Market Research Report 2022 – 2029

Chapter 1 User Behavior Analytics Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global User Behavior Analytics Market Forecast

Buy Exclusive Report @:

Contact Us:

Roger Smith


[email protected]

+1 775 237 4157

Thu, 04 Aug 2022 01:02:00 -0500 A2Z Market Research en-US text/html
Killexams : Operational Intelligence Market May See a Big Move | Open Text, Splunk, Axway Software, IBM

Advance Market Analytics published a new research publication on “Operational Intelligence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Operational Intelligence market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF sample Copy of This Research @

Some of the key players profiled in the study are: SAP SE (Germany), Hewlett Packard Enterprise Co. (United States), Axway Software SA (France), IBM Corporation (United States),, Inc. (United States), Infor (United States), Oracle Corporation (United States), Splunk Inc. (United States), Open Text Corp. (Canada) , Zoho Corporation (India).

Scope of the Report of Operational Intelligence
Operational Intelligence is basically use of business analytics tool using real time data and past data patterns to make better business decisions. Operational Intelligence requires proper collection of data both structured and unstructured to process them through various analytics tools including use of Artificial Intelligence and Machine Learning. Financial Services, IT and Logistics experience most dominant use of operational intelligence for decision making. Geographically, North America is the biggest market, but Asia Pacific with rising economies present brilliant prospectus for the growth of Operational Intelligence market especially targeting SMEs.

The titled segments and sub-section of the market are illuminated below:

by Deployment Type (Cloud Based, On Premise Based), End Use (BFSI, IT and Telecom, Healthcare, Retail, Transportation and Logistics, Energy and Power, Others), Organisation Size (Large Enterprises, SMEs), Component (Software, Services)

Market Trends:
Use of Artificial Intelligence is increasing in Decision Making

SMEs Segment are one of the Least Explored Market and Thus Companies should capitalise on the same

Market Drivers:
Rising Adoption of Cloud Computing
Improvement in Connectivity Technology

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Operational Intelligence Market Report, Ask Our [email protected]

Strategic Points Covered in Table of Content of Global Operational Intelligence Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Operational Intelligence market

Chapter 2: Exclusive Summary – the basic information of the Operational Intelligence Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Operational Intelligence

Chapter 4: Presenting the Operational Intelligence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the Operational Intelligence market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Operational Intelligence Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @

Thanks for memorizing this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

Contact Us:

Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
Unit No. 429, Parsonage Road Edison, NJ
New Jersey USA – 08837
Phone: +1 (206) 317 1218

Mon, 01 Aug 2022 19:19:00 -0500 Newsmantraa en-US text/html
Killexams : Splunk Looks Ready to Move On Up

Splunk (SPLK) is used for monitoring and searching through big data. The firm has a new fan with a sell side firm starting fundamental coverage with a buy rating and a $130 price target. Let's check the charts and indicators.

In this daily bar chart of SPLK, below, we can see several tests of the $90-$80 area since early May. It appears that all of these dips or tests were bought as prices are now firmer and poised to break above the 50-day moving average line.

The On-Balance-Volume (OBV) line is up from its early May low. The Moving Average Convergence Divergence (MACD) oscillator is edging higher towards the zero line.  


In this weekly Japanese candlestick chart of SPLK, below, we can see a number of lower shadows in the $90 area. The slope of the 40-week moving average line is bearish. The weekly OBV line shows a decline from April but signs of a low in June. The MACD oscillator is bearish but narrowing. 



In this daily Point and Figure chart of SPLK, below, we can see a potential upside price target in the $126 area. 



In this weekly Point and Figure chart of SPLK, below, we can see a very bearish downside price target but a trade at $110 should Improve the picture. 


Bottom line strategy: Traders could probe the long side of SPLK at current levels looking for a rebound rally into the $130-$135 area. Risk to $89.

Get an email alert each time I write an article for Real Money. Click the "+Follow" next to my byline to this article.

Thu, 07 Jul 2022 06:48:00 -0500 BRUCE KAMICH en text/html
Killexams : Google Cloud Platform Deploys Arm – Here’s What You Should Know

Google Cloud Platform (GCP) announced the coming availability of its Arm-based instance, the Tau T2A, last week (currently available in preview) to address the ever-expanding needs of customers developing and deploying scale-out, cloud-native workloads. What does this announcement mean for enterprise IT? Does landing this final major cloud player fully validate Arm in the enterprise? And what motivated Google to jump on the Arm bandwagon? We'll address this a little more in the following paragraphs.

What was announced

The T2A virtual machine (VM) is part of the GCP Tau scale-out instance family. Tau is targeted at those cloud-native applications that run containerized or in VMs that don't require extreme compute resources. The Tau family was deployed initially with AMD EPYC (T2D) with fixed configurations to offer this instance type optimized for cost and scale-out performance.

The Tau T2A VM is based on Ampere Computing’s Altra CPU. It’s important to note that Azure announced Ampere and instances are GA at Oracle Cloud Infrastructure, as well as several Chinese clouds (including TikTok parent, ByteDance).


To motivate developers and customers, GCP offers a free 8-core, 32G RAM instance of T2A through general availability.

How Google is positioning T2A

One of the things I find with Arm announcements is that sometimes the "why would I use this?' question isn't fully answered. It's almost as if an assumption is made that enterprise IT professionals would fully understand the price-performance benefits of Arm and workload affinity.


Through the briefings Moor Insights & Strategy Patrick Moorhead and I received, as well as the various public statements from Google, it is refreshing to see the company is helping guide its customers. As mentioned, T2A is a VM targeting those scale-out workloads that don't require maximum compute resources at the individual instance level. Unsurprisingly, one of the supporting blogs from Google discusses optimizations for the Google Kubernetes Engine (GKE), Google's container environment.

A valuable capability of GKE is its multi-architecture support. So, containerized workloads can run in an x86 and Arm environment simultaneously. While this has many practical benefits, it also makes it easier for IT organizations to dip their collective toes in the “Arm” water, so to speak. It is capabilities such as this (not unique to GCP) that allow for organizations to deploy on Arm seamlessly.

It should be noted that T2A also runs the Google Container-optimized OS. So, organizations utilizing the popular Docker containers can expect full support.

Google has also enabled its Batch and Dataflow cloud services to run on T2A. These two services that target batch processing and streaming analytics respectively benefit from the Tau family's scale-out nature and T2A in particular.


While Google provides good guidance for its customers considering exploring or deploying on Arm, the use of T2A can be far broader. Independent of Google, Ampere has developed a robust ecosystem of partners, spanning the operating system to the workload. Functions like serverless caching via Momento, SLURM workload scheduling via SchedMD, and HPC through Rescale – are all optimized workloads for Ampere. And there are many more.

A few more details on T2A

Google is careful in how it positions its VM instances. When the company released its Tau VM family last year, it was very clear in positioning these as cost-effective, scale-out VMs. As one would expect with “cost-effective,” some options customers may prefer are lacking, such as local SSD support and higher bandwidth networking (32G supported in T2A v. 100G in other instances). Further, once a customer is locked into a T2A VM size (vCPU and RAM), they cannot dynamically add more resources.


Given the workloads targeted, the above makes sense, as customers look to distribute applications across many "good enough" performing VMs that don’t require maximum network throughput.

I like that GCP drives all of its specialized value into the Tau family, including T2A. The security measures, optimizations around memory (NUMA), network optimizations, etc.. that GCP has developed are all lit up in T2A. This level of support should assures customers utilizing T2A that these instances enjoy the same level of support as the highest performing compute engines.

Has Arm arrived in the enterprise?

The quick and simple answer is yes, though not for every workload. GCP announcing Arm-based instances rounds out support from all the major CSPs. This widespread support hasn't happened because Arm is cool or trendy. Nor has it happened as an exercise to drive better pricing from the x86 players. Arm is being deployed because CSPs can deliver equal or better performance for specific workloads at a lower cost and power envelope. Period. This is basic economics.

While Arm is not going to replace x86 to run virtualized infrastructure on VMware anytime soon, there are still use cases where Arm is a good fit. In its blog promoting T2A, one of GCP's reference customers is Harvard University. The school runs several compute-intensive workloads on SLURM VirtualFlow, and T2A allows it to run tens of thousands of VMs in parallel, reducing compute time significantly. But here’s the key to what Harvard had to say – the migration to T2A was done with minimal effort. Such is the beauty of cloud-native development. The cost and time savings will be immediately recognized.


I like this Harvard reference because it reminds us that Arm is not just for the digitally born companies that have never had an on-premises datacenter. It's for any company embarking on a digital transformation or modernization project.

Further proof of Arm's move into the datacenter can be seen in HPE's announcement of the upcoming ProLiant RL300 Gen11 server based on Ampere's Altra CPU. This is the first mainstream server that HPE has announced ahead of its Gen11 launch, and I expect the market will see competitors roll out its servers in time.

Is T2A just a competitive response from Google?

I don’t believe that Google is interested in investing in and rolling out an Arm-based instance to be like every other cloud provider. GCP is run by many intelligent people who firmly understand its customers' wants and needs.


As a company, Google has deep roots in silicon design, development, and optimizations. It's no secret that the company works with CPU vendors to deliver Google compute-optimized platforms. I think GCP has done its due diligence in ensuring the Ampere CPU could and would meet its particular and the needs of its customers.

I believe my only question is around the longer-term strategy for Google and Arm. There are two camps in the CSP space: those that design its silicon (i.e., AWS Graviton) and those that deploy Ampere. Given Google's history in silicon development, could we see a custom chip in the future? It is a scenario that is entirely plausible.

Final thoughts

Google rounds out support for Arm from the major CSPs with its Tau T2A VM offering, based on Ampere Computing’s Altra CPU. While the company is last to market in this regard, it has done a thorough job of positioning Arm relative to x86 and target workloads.


I believe this is just the beginning for Arm at GCP and suspect the company will eventually roll Arm offerings into other compute engine offerings over time. But I think it will do this in a very measured way, looking for areas where Arm can offer a differentiated experience for customers.

It's a good time to be a proponent of Arm. And a better day to be an investor of Ampere Computing. There is no doubt that Arm is here to stay. Not as a cheap alternative to x86, but as an architecture that can be optimized for many workloads, with the ability to lead in raw performance, price-performance, and performance-per-watt, at a time when each of these measures are so critical.


Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex,, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, MulteFire Alliance, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler. Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.

Tue, 26 Jul 2022 04:38:00 -0500 Matt Kimball en text/html
Killexams : Three Ways Portable Data Skills Provide Job Security In 2022


The global COVID-19 pandemic ushered in many structural changes within our society, chief among them being the Great Resignation. A survey conducted by the Pew Research Center found that the main reasons why employees have quit during the pandemic include low pay, a lack of opportunities for advancement and feeling disrespected. The worker shortage has been felt everywhere from the gas station to the airport, and also exposed painful truths about worker inequality.

But the Great Resignation didn’t start with the pandemic. Rather, it’s the continuation of a trend in rising quit rates that began more than a decade ago. There are five factors at play that have contributed toward rising quit rates in the US: retirement, relocation, reconsideration, reshuffling, and reluctance.

“Reshuffling” is the notion that not all workers who quit are leaving the labor market; some are moving among different jobs in the same sector, or even between sectors. And many are quitting for new and better jobs in a phenomenon known as the Great Upgrade.

As people move toward more skilled jobs, they need to ensure they can keep up with expectations. A study by Tableau and Forrester found that 82% of decision-makers expect their employees to have basic data literacy. And organizations that commit to data literacy efforts see wide-ranging benefits like enhanced innovation, greater customer experiences, better decision-making, reduced costs, improved retention, and increased revenues. But how can employers and employees alike ensure that they have the chops to do the job, and do it well?

(Rafal Olechowski/Shutterstock)

Investing in Data Skills: It’s Worth It

One step that can help set a company up for success with respect to data literacy programming is to recognize that data proficiency levels depend on an employee’s role (e.g., a sales representative does not need to know as much as a data scientist). While in-house training can be an effective way to cut costs, such programs may not be comprehensive enough. Outsourcing this training to consulting partners, technology vendors, data literacy specialists, and others can supply a wide variety of programming for a variety of different roles and business needs.

Strengthening hard skills is an important way to close the data literacy gap, and the effects benefit more than just companies: becoming more data literate can create upward mobility and career advancements and add 11% to an employee’s salary.

Last year we conducted a survey with ESG about how advanced data skills affect Splunk practitioners’ career prospects. The survey revealed that companies continue to value employees that can use data to answer business questions. Below we’ll outline how data skills positively impact employee compensation, job security, and preparation for a cloud-first future.

The Impact of Data Skills

1. Compensation

Salary has overtaken work/life balance as the top determining factor of job satisfaction. This is unsurprising, as financial security allows employees to save, enjoy leisure activities, plan for the future, and comfortably meet financial obligations like mortgages and rent. Employees that learn how to use analytics tools, ask questions about their data, and get actionable answers from their data will be more valuable to their employers and command higher salaries.


2. Portability of Skills = Increased Job security

The most frequently reported benefits related to job security in the survey are the respondents’ effectiveness and portable skills. Given that COVID-19 is here to stay, the importance of having in-demand, portable skills in an uncertain world and volatile job market can’t be understated. But the importance of the portability of skills was on the rise before COVID-19. Gone are the days when employees used to pledge loyalty to a company for decades. The International Labor Organization (ILO) estimated that workers between the ages of 18 and 38 changed jobs ten times in 2010. With more widely relevant and recognized skills, workers can Improve their employability and adaptability, but the benefits don’t stop there: portable skills contribute to human development by empowering people to make full use of their skills and talents. This is particularly impactful for women, who tend to be employed below their skill level.

3. Preparing for a Cloud-First Future

COVID-19 has rapidly accelerated digital transformation across the enterprise, and one key driver of digital transformation is the increasing use of cloud services. Data practitioners helped accelerate cloud service adoption as companies found new ways to support the increasing number of remote workers, the continued, exponential growth of data, and finding new channels and ways of engaging with customers during a global pandemic – all skills that go across data vendors and have a longer shelf life than deep data skills related to a single platform. This is especially important as 90% of large organizations are opting for a multi-cloud approach.

The proliferation of data has allowed businesses to become more strategic and Improve revenue and operational efficiencies. Learning technical skills (like SPL) can Improve a company’s bottom line while simultaneously creating economic gain and advancement for employees. As workers build more portable skills, they not only help themselves and their employers, they also Improve labor market efficiency by lowering transaction costs in job search and recruitment, as the ILO study showed. However, it’s important to note that training employees with hard skills is not a panacea; there are many soft skills that are important to help people realize the full value of working with data, like collaboration, curiosity, critical thinking, and storytelling.

About the author: Brittany Coppola is a Product Marketing Manager on the Platform team at Splunk, where she focuses on pricing and the admin experience. She’s passionate about harnessing the power of data to help organizations solve their most pressing problems. Prior to joining Splunk she worked in edtech and fintech.

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Mon, 11 Jul 2022 12:01:00 -0500 text/html
Killexams : Trainocate is pleased to announce a strategic partnership with Splunk

MUMBAI, BANGALORE and CHENNAI, India, March 14, 2022 /PRNewswire/ -- Trainocate, a leading Learning & Development service provider is pleased to announce a strategic partnership with Splunk ® enterprise, the data platform leader for Security & Observability. This alliance with Splunk will provide training and certification to students and professionals, giving them the opportunity to showcase their data management and analysis skills with pinpoint precision.

Trainocate is pleased to announce a strategic partnership with Splunk

Splunk is a horizontal technology used for application management, security and compliance, as well as business and web analytics. Splunk has also begun developing machine learning and data solutions for BizOps.

Trainocate believes, Splunk provides organizations with the data and analytics backbone to quickly detect, identify, respond and recover from disruptions and thrive in today's constantly changing business environment. Splunk's technology also helps keep an organization running with real-time monitoring and investigation of any data from any source, enabling it  to troubleshoot and secure any environment, from on-prem to the cloud.

About Splunk

The Splunk platform removes the barriers between data and action, empowering observability, IT and security teams to ensure their organizations are secure, resilient and innovative. Splunk certificate holders are exceptionally desirable to large organizations where data management is critical to making successful business decisions. Completing a Splunk Certification course is guaranteed to open doors to better paying and higher-ranking professional opportunities.

Who can learn Splunk?

Splunk is ideal for students with a general knowledge of typical operations in using computer applications like storing and retrieving data, including IT professionals and IT infrastructure management professionals.

About Trainocate

Founded in 1995 under the branding of Global Knowledge Asia, Trainocate is one of the most trusted training providers in Asia. The company specializes in training around vendor-specific technologies and certifications, high-end IT solutions, customized content as well as a robust portfolio of business and management skills. Trainocate has a global presence in India, Sri Lanka, Singapore, Japan, Malaysia, Indonesia, Hong Kong, China, Thailand, Taiwan, Vietnam, Philippines, Australia and USA.

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Mon, 21 Mar 2022 06:35:00 -0500 text/html
Killexams : Devops Tool Market 2022 Witness Widespread Expansion, Rising Business Opportunities With Prominent Investment, Forecast To 2030

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

Aug 02, 2022 (Alliance News via COMTEX) -- Key Companies Covered in the Devops Tool Research are Spirent Communications plc, Saltstack, IBM, VMware, Cisco, ServiceNow, Rally, Splunk, Nolio, Red Hat, Atlassian, Puppet Labs, Rackspace, Docker Inc., HP, Microsoft, CFEngine, AnsibleWorks, CA Technologies, DBmaestro, WMS and other key market players.

The Devops Toolmarket revenue was $$ Million USD in 2016, grew to $$ Million USD in 2022, and will reach $$ Million USD in 2030, with a CAGR of % during 2022-2030.

Market Overview

Global Devops Tool Market Development Strategy Pre and Post COVID-19, by Corporate Strategy Analysis, Landscape, Type, Application, and Leading 20 Countries covers and analyzes the potential of the global Devops Tool industry, providing statistical information about market dynamics, growth factors, major challenges, PEST analysis and market entry strategy Analysis, opportunities and forecasts. The biggest highlight of the report is to provide companies in the industry with a strategic analysis of the impact of COVID-19. At the same time, this report analyzed the market of leading 20 countries and introduce the market potential of these countries.

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Most important types of Devops Tool products covered in this report are:
API tools
Collaboration and Organizational Tools
Configuration Management Tools
Build Automation Tools
Application and Infrastructure Monitoring Tools

Most widely used downstream fields of Devops Tool market covered in this report are:
Government and Public Sector

Top countries data covered in this report:
United States
South Korea
South Africa
Saudi Arabia

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Chapter 1 is the basis of the entire report. In this chapter, we define the market concept and market scope of Devops Tool, including product classification, application areas, and the entire report covered area.

Chapter 2 is the core idea of the whole report. In this chapter, we provide a detailed introduction to our research methods and data sources.

Chapter 3 focuses on analyzing the current competitive situation in the Devops Tool market and provides basic information, market data, product introductions, etc. of leading companies in the industry. At the same time, Chapter 3 includes the highlighted analysis–Strategies for Company to Deal with the Impact of COVID-19.

Chapter 4 provides breakdown data of different types of products, as well as market forecasts.

Different application fields have different usage and development prospects of products. Therefore, Chapter 5 provides subdivision data of different application fields and market forecasts.

Chapter 6 includes detailed data of major regions of the world, including detailed data of major regions of the world. North America, Asia Pacific, Europe, South America, Middle East and Africa.

Chapters 7-26 focus on the regional market. We have selected the most representative 20 countries from 197 countries in the world and conducted a detailed analysis and overview of the market development of these countries.

Chapter 27 focuses on market qualitative analysis, providing market driving factor analysis, market development constraints, PEST analysis, industry trends under COVID-19, market entry strategy analysis, etc.

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Key Points:
Define, describe and forecast Devops Tool product market by type, application, end user and region.
Provide enterprise external environment analysis and PEST analysis.
Provide strategies for company to deal with the impact of COVID-19.
Provide market dynamic analysis, including market driving factors, market development constraints.
Provide market entry strategy analysis for new players or players who are ready to enter the market, including market segment definition, client analysis, distribution model, product messaging and positioning, and price strategy analysis.
Keep up with international market trends and provide analysis of the impact of the COVID-19 epidemic on major regions of the world.
Analyze the market opportunities of stakeholders and provide market leaders with details of the competitive landscape.

Table of Content:

  • Market Definition and Overview
  • Research Method and Logic
  • Market Competition Analysis
  • Product and Service Analysis
  • Strategies for Company to Deal with the Impact of COVID-19
  • Market Segment by Type, Historical Data and Market Forecasts
  • Market Segment by Application, Historical Data and Market Forecasts
  • Market by by Region, Historical Data and Market Forecasts
  • Market Dynamic Analysis and Development Suggestions

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List of Factors Covered in the Report are:
Major Strategic Developments:The report abides by quality and quantity. It covers the major strategic market developments, including R&D, M&A, agreements, new products launch, collaborations, partnerships, joint ventures, and geographical expansion, accompanied by a list of the prominent industry players thriving in the market on a national and international level.

Key Market Features:
Major subjects like revenue, capacity, price, rate, production rate, gross production, capacity utilization, consumption, cost, CAGR, import/export, supply/demand, market share, and gross margin are all assessed in the research and mentioned in the study. It also documents a thorough analysis of the most important market factors and their most recent developments, combined with the pertinent market segments and sub-segments.

List of Highlights & Approach
The report is made using a variety of efficient analytical methodologies that offers readers an in-depth research and evaluation on the leading market players and comprehensive insight on what place they are holding within the industry. Analytical techniques, such as Porter's five forces analysis, feasibility studies, SWOT analyses, and ROI analyses, are put to use to examine the development of the major market players.

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Key Benefits for Industry Participants & Stakeholders

  • The Market Research allows the investors to understand the market size, dynamics, risks, and opportunities in the industry.
  • The market research report provides market sizing and forecast over major currencies - USD, EUR, JPY, GBP, and CHF.
  • This Market Research Report helps to forecast the revenues and analyze the market trends based on region, product type, and end-use.
  • The Market analysis of the market share of the can prove beneficial in terms of profit to the industry's participants and stakeholders.

Key Questions Answered in the Market Report

  • Which Manufacturing Technology is used for Market? What Developments Are Going on in That Technology?
  • Which Trends Are Causing These Developments? Who Are the Global Key Players in This Market?
  • What are Their Company Profile, Their Product Information, and Contact Information?
  • What Was Global Status of Market? What Was Capacity, Production Value, Cost and PROFIT of Market?
  • What Is Current Market Status of market Industry? What's Market Competition in This Industry, Both Company, and Country Wise?
  • What's Market Analysis of Market by Taking Applications and Types in Consideration?
  • What Are Projections of Global Market Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit?
  • What Will Be Market Share Report, Supply and Consumption? What about Import and Export?
  • What Is Market Chain Analysis by Upstream Raw Materials and Downstream Industry?

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

Mon, 01 Aug 2022 19:08:00 -0500 en-US text/html
Killexams : Aisera lands $90M to automate customer service requests with AI

Aisera, a startup developing what it describes as an “AI-driven” support ticketing system, today announced that it raised $90 million in Series D funding led by Goldman Sachs with participation from Zoom, True Ventures, Menlo Ventures, Norwest Venture Partners, Icon Ventures, Khosla Ventures, First Round Capital and others. CEO Muddu Sudhakar said the new cash will be put toward market expansion and supporting Aisera’s go-to-market strategy, in addition to investing in the company’s product development, R&D, sales and marketing initiatives.

Sudhakar says he built Aisera after perceiving the need for “predictive AI” solutions that could auto-resolve customer service, IT, sales and operations problems. Leveraging AI, the platform plugs into existing systems of record, including help desk portals, to respond to incoming inquiries and requests.

Sudhakar founded Aisera in 2017 alongside Christos Tryfonas, a longtime colleague. Sudhakar most recently led teams at ServiceNow and EMC, previously founding startups (Caspida, Cetas, Kazeon and Sanera Systems) that were acquired by VMware and Splunk. Tryfonas, a former AT&T Bell Labs researcher, worked with Sudhakar at several of his ventures before joining Aisera.

“We thought [the pandemic] would be a problem, but Aisera’s technology does very well in remote environments. Customers wanted AI and automation to drive user engagement and adoption,” Sudhakar told TechCrunch in an email interview. “Now in the current market downturn, we’re seeing the need for cost reduction on licenses and people. This is driving demand for Aisera as we’re able to help organizations reduce costs for IT and business services.”

The way Sudhakar explains it, Aisera’s platform learns to resolve issues through a combination of language-analyzing AI and robotic process automation, or RPA. RPA technology attempts to mimic the way people interact with software to accomplish basic, repeatable tasks at scale. It’s not a particularly novel idea — RPA vendors, including Automation Anywhere and UiPath, claim to be able to do this to some extent. But Sudhakar asserts that Aisera’s brand of RPA is custom-built for customer/employee service use cases.


Image Credits: Aisera

“In some ways, Aisera competes with ServiceNow and Zendesk, but it’s also complementary to those solutions as we partner with them as well as Amazon Web Services, Microsoft, Salesforce, Atlassian, and Cisco,” Sudhakar said. “Aisera is unique and differentiated with ontology and taxonomy for each domain and vertical industry … [We also do] AI learning and training on customer data sets to capture specific intents, phrases, utterances required for natural language processing and natural language understanding.”

When a request comes in via email, voice, a ticket or a chatroom, Aisera attempts to understand it by analyzing it with an algorithm trained to understand language. The platform then cross-references sources like ServiceNow, Salesforce, Oracle, Confluence and SharePoint for customer data to personalize its replies to the request. After that step, Aisera creates a list of actions that need to be completed to fulfill the request, which it submits to a “workflow management” engine.

Aisera can return articles or snippets of articles from a company’s knowledge base that most likely answer a customer’s question. Moreover, it can automatically take certain actions itself, like resetting a user’s password — that’s where the RPA comes in — or route requests to the appropriate team. For trickier problems, Aisera can provide “next-best action” recommendations to teams as well, improving with each additional data point.

“Our technology helps companies Improve their operational results while enabling them to constrain costs associated with help and service desk support, customer service and support, and [more],” Sudhakar added. “Aisera delivers solutions for both large and small organizations that can be used across business-to-business and business-to-consumer markets for IT, HR, cybersecurity, customer service, sales, marketing, legal, and finance departments.”

Aisera claims to do a lot. Unfortunately, without access to internal data, it’s tough to known how well its product works in practice. The platform supposedly recognizes over 70 languages, but does it understand all of those languages equally well? What happens when Aisera makes a mistake (e.g., fetches the wrong support article) in resolving requests?

In response to TechCrunch’s questions, Sudhakar said: “In the case that conversational AI understanding and fulfillment (resolution) are incorrect, Aisera [can codify] error and warning scenarios [or allow customers to] talk to a live agent or create a case or callback. Aisera also has an alert and notification studio that can trigger workflows to notify users and admins in case of workflow failures.”

Taking a step back to examine the larger industry, though, it’s clear that there’s a strong interest in AI technologies for customer service. A 2021 survey from ManageEngine (the IT division of Zoho) found that 59% of execs in the U.S. are applying AI — for example, in chatbots — to enhance customer service in some way. Whether realistic or no, AI is viewed by many as a path to higher efficiency (i.e., handling more customer inquiries with fewer resources) and greater personalization (e.g., upselling).


Image Credits: Aisera

It’s no panacea — findings are mixed on whether customers prefer even basic chatbots to human agents. But the hype around AI has fueled the rise of startups such as, which automatically tags customer conversations to resolve service issues. Last year, Zendesk acquired Cleverly, whose product platform provided a series of AI-powered capabilities, including a triage function to automatically tag incoming service requests to help categorize workflow. There’s also, a data-ingesting, bot-builder platform; Ushur, which offers a service for businesses to create AI-based communication flows; and Tidio, a suite of live chat apps and AI-powered chatbots.

Competition aside, Sudhakar believes Aisera is well-positioned for growth with over 100 customers and close to 80 million users. Current subscribers include brands like Zoom, Chegg, McAfee, and Autodesk, plus federal, state, military and defense agencies.

“We’re in a somewhat recession-proof industry where our cloud-native and AI-native technology can better accommodate budgets in contrast to others. AI and automation are key foundational pillars to beat inflation,” Sudhakar said. “Aisera is experiencing massive growth — 300% year-over-year — with gross margins between 80% to 90%. . . . While the tech industry faces levels of uncertainty and some economic headwinds, business for Aisera is booming.”

To date, Aisera, which employees around 250 people, has raised $180 million in capital.

Tue, 02 Aug 2022 12:00:00 -0500 en-US text/html
Killexams : Nasdaq Bear Market: 1 Growth Stock to Buy, and 1 to Sell

A bear market becomes official when the price of an asset or index falls by 20% or more. Since the technology-centric Nasdaq-100 market index has declined by 28% so far in 2022, it fits firmly within that criteria. 

But a 28% loss doesn't accurately reflect the experience of most tech investors this year, because many individual stocks have collapsed by 50% or more. That's why it's important to be selective when investing in a bear market -- even if a particular company looks cheap because of its beaten-down stock price, it might not be in reality. 

Here are two stocks on opposite ends of the spectrum. One is beating the broader market in 2022 and might be worth buying, while the other is heavily underperforming and should probably be avoided.

The stock to buy: Splunk

Splunk (SPLK 0.35%) is a data platform of the future thanks to its use of machine learning to deliver real-time insights to its business customers. While its stock has declined by 17% in 2022, it's still outperforming the Nasdaq-100 by 10 percentage points.

Splunk has collected an impressively diverse portfolio of customers, serving 90 of the Fortune 100 companies. Global car manufacturer Honda uses Splunk's predictive analytics to prevent equipment failures and the costly shutdowns that can result. And beer brewery Heineken uses the platform to link its 4,500 applications to gain a bird's-eye view of operations and extract valuable insights from 25 million monthly data points that are generated across them.

The point is data is an extremely valuable byproduct of the digital age, where companies run the bulk of their operations online, and Splunk is the value-extraction tool.

Splunk now offers its tools in the cloud, which makes them far more accessible, and it has supercharged the company's growth. In the first quarter of fiscal 2023 (ended April 30), cloud revenue jumped 66% year over year compared to a 34% increase for the company's total revenue. As a result, the cloud has grown to account for 48% of Splunk's business, whereas it was 38% just a year ago.

Splunk now has 329 customers spending $1 million or more annually on cloud services, up 62% from this time last year. It's also one of a small number of companies that have actually increased guidance recently, despite tougher economic conditions. It now expects to deliver up to $3.35 billion in full-year revenue in fiscal 2023. 

Splunk isn't profitable just yet, which remains a risk for investors. But it's still expanding quickly and building scale, so it makes sense for management to continue investing in growth for now. For investors, Splunk's focus on machine learning and big data makes it a solid long-term bet on the future.

The stock to sell: DoorDash

While Splunk's business is accelerating, DoorDash's (DASH -1.31%) is suffering a slowdown in many respects. The food delivery giant was a big beneficiary of pandemic restrictions because it was one of the only ways consumers could get their hands on their favorite restaurant foods. But although the pandemic continues, societal conditions are mostly back to normal, so DoorDash is struggling to generate the same growth it once was.

It's the main reason the company's stock has declined by a whopping 51% this year.

In the first quarter of 2021, DoorDash experienced 222% growth in its marketplace gross order value (GOV) compared to the first quarter of 2020. It's an important metric to watch because it measures the total value of all customer orders placed on the DoorDash platform for the given period. In Q1 2022, marketplace GOV came in at $12.1 billion, which represented growth of just 25% year over year -- a notable slowdown. 

It's still a respectable rate of increase, but there's a glaring problem. DoorDash failed to make a profit when its business was booming during the worst of the pandemic, and its losses continue to mount. In fact, it lost $167 million in Q1 2022, which was a 51% increase compared to the same period last year, despite the company generating record-high quarterly revenue of $1.4 billion.

The simple fact is that food delivery is a highly competitive industry and there are very few barriers to entry, which means DoorDash struggles to differentiate its business from other players. One of the few ways to gain an edge is to charge the lowest fees, but that comes at the cost of sustained losses. As a result, marketing is the company's largest operating cost, coming in at $414 million in Q1 2022, or 29% of revenue.

There's nothing to suggest the environment for DoorDash will Improve any time soon, but the company does have $3.7 billion in cash, equivalents, and short-term investments on its balance sheet, so it has a lengthy runway to figure things out. However, it's probably not the stock to bet on in the depths of a bear market given its numerous challenges.

Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends DoorDash, Inc. and Splunk. The Motley Fool has a disclosure policy.

Tue, 19 Jul 2022 00:54:00 -0500 Anthony Di Pizio en text/html
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