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Exam Code: CCA175 Practice exam 2022 by team
CCA Spark and Hadoop Developer
Cloudera Developer guide
Killexams : Cloudera Developer guide - BingNews Search results Killexams : Cloudera Developer guide - BingNews Killexams : Testing Software Code Is Challenging, Even With Agile. Need a Practical Guide?

Decades ago, around the time of the Y2K bug, several software books emerged whose aim was to Strengthen the software development process for engineers and technicians. I remember one popular book by Steve McConnel: Software Project Survival Guide (SPSG).

The SPSG was a hit because it presented the software development process in straightforward and practical terms. For example, test code consists of three elements: unit, integration, and system testing. During system testing, it recommended independent testers, not the same developers that created the programs. Further, tests are needed to cover 100 percent software’s functionality. There were practical suggestions on the ratio of testers to developers:

  • Microsoft: 1 tester / 1 developer
  • NASA: Life critical software, 10 testers / 1 developer
  • Small, in-house business systems: 1 tester / 4 developers

Of course, system test is just one of the many test types needed to produce good software systems. But let’s stay focused on the system as deals with the top-level concerning in testing.

Fast-forward to today. Much has changed in the realm of software development and testing – think Agile systems. But new and even forgotten best practices in testing have also emerged that are especially valuable for the younger software developer. Consider a accurate book by two tech experts with decades of experience in the industry (PayPal, LinkedIn, WePay, Cloudera, Twitter): Chris Riccomini and Dmitriy Ryaboy, “The Missing README: A Guide for the New Software Engineer.”

In their chapter on testing, the authors understood that “many software projects were missing certain flavors of tests, while others were inconsistent about the separation—intermingling “unit” and “integration” tests. It’s important to know what these categories mean and the trade-offs between them.”

The authors note that successful software developers must make real-world pragmatic testing decisions. These practitioners shouldn’t get hung up on naming and categorization, and should also refrain from passing judgment if the test setup is not quite right.

The testing chapter is full of useful information relevant to today’s modern systems. For example, the authors suggest using injectable clocks rather than static time methods so testers can control the timing that the code sees in a test. This will help avoid the problem of a code segment that waits 500ms for something. A test will pass if the code runs in 499ms but fail when it runs in 501ms. This is a problem.

ASimpleThrottler Ruby class illustrates the problem. SimpleThrottler invokes a throttle method when the operation count exceeds a threshold, but the clock is not injectable.


class SimpleThrottler

      def initialize(max_per_sec=1000)

@max_per_sec = max_per_sec

@last_sec =

@count_this_sec = 0


      def do_work

            @count_this_sec += 1

            # ...


      def maybe_throttle

            if == @last_sec and @count_this_sec > @max_per_sec


            @count_this_sec = 0


      @last_sec =


def throttle

            # ...




Complementing the code samples and other practical aids is a list of Do’s and Don’t.



DO use tests to reproduce bugs.

DON’T ignore the cost of adding new

testing tools.

DO use mocking tools to help write

unit tests.

DON’T depend on others to write tests

for you.

DO use code quality tools to verify coverage,

formatting, and complexity.

DO seed random number generators

in tests.

DON’T write tests just to boost code


DON’T depend solely on code coverage

as a measure of quality.

DO close network sockets and file

handles in tests.

DON’T use avoidable sleeps and timeouts

in tests.

DO generate unique file paths and

database IDs in tests.

DON’T call remote systems in unit


DO clean up leftover test state

between test executions.

DON’T depend on test execution order.

As do all the chapters, this test chapter ends with a helpful reference to additional readings called Level Up.

All in all, this work is worth adding to the library of the practical software developer and tester, especially for new engineers and technicians. It's a distillation of technical/process skills (e.g., code review, Agile dev), best practices (deploying new software), and workplace survival skills (dealing with management, working on teams).

The book - The Missing README -will release next month.

John Blyler is a Design News senior editor, covering the electronics and advanced manufacturing spaces. With a BS in Engineering Physics and an MS in Electrical Engineering, he has years of hardware-software-network systems experience as an editor and engineer within the advanced manufacturing, IoT and semiconductor industries. John has co-authored books related to system engineering and electronics for IEEE, Wiley, and Elsevier.

Thu, 21 Jul 2022 12:00:00 -0500 en text/html
Killexams : How to become a developer: A beginner’s guide

The world is becoming more digitised as businesses look to become even more connected, which is great news if you’re a developer. The job market and opportunities for developers are massive, where they can work on everything from developing video games, creating user-friendly websites, or building offerings around new technologies like AI.

The past few years of the pandemic have also helped to speed up the adoption of new technology through digital transformation. A report from McKinsey in May 2021 found that 65% of leaders had increased their spending on digital and technology during the pandemic, despite belt-tightening elsewhere in the business.

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Additionally, 64% of businesses thought that looking towards 2023, most companies will need to build new digital businesses to stay economically viable while 21% said they would have to embed digital technologies in their current business model. With this increased focus on digital predicted to continue, it’s probably a smart decision to start a career as a developer. So, you might be wondering how you can become a developer - and what exactly it is that developers do?

A day in the life of a developer

During their day-to-day activities, developers will carry out a variety of roles, but they’re considered to be programmers since they also write code. Despite this, the main part of their role can be found in designing software architecture for commercial services and products.

Developers have a key role in every part of an app's development, from the planning stages to implementation, where they monitor the complete web or software development process. This is why they work shoulder-to-shoulder with programmers, instructing and leading them on which programming language to use when building an application.

Other important parts of this job include updating product documentation, directing testing procedures, and customising off-the-rack computer programs. Developers must also make sure the program continues to work properly once the app has been deployed, and ensure they pass any feedback to the programmers to make changes if needed.

How to get hired as a developer

It’s time to take a look at the seven steps you can follow to become a developer, now that you’ve got to grips with the broad responsibilities this role covers.

1. Pick a niche 

To take your first step on the path to becoming a developer, you’ll have to choose a niche.

There’s a wide range of choices to select from, so we’ve explained below the different types of developers you’ll encounter the most, and what their duties are to aid you in making your choice.

  • Frontend web developer: Builds the user interface, aesthetics, and layouts of a website — basically everything a user sees and interacts with within a product.
  • Backend web developer: Maps websites to corresponding servers and databases by devising a functional logic between them.
  • Full-stack web developer: Plays the role of both frontend and backend developer.
  • Mobile developer: Optimizes applications for mobile devices and possesses an intricate knowledge of iOS and Android operating systems.
  • Game developer: Designs and implements interactive gaming experiences on various platforms, using specialised toolsets. 
  • Application developer: Creates full custom applications for computers, browsers, mobile phones, and tablets.

One thing is evident: No two developer roles are the same. This is also why two developers may learn different programming languages. Besides, a big part of selecting a programming language to learn is assessing the various use-cases for it. 

For example, Python is often an excellent choice for web development, but the same isn’t necessarily true for mobile computing. 

Once you have your preferred niche in place, you can move to the next step: learning.

2. Learn to code

There are a few ways to learn how to code. 

The traditional way would be to get an associate’s or bachelor’s degree in software engineering or computer science. 

An associate’s degree program can offer you basic education in computer programming, and it takes as few as two years to complete. A bachelor’s degree, on the other hand, takes four years but gives you all of the skills you need in the field and a deeper understanding of other subjects, including information technology, database systems and network administration.

That said, heading back to college may not be a viable option if you already have a degree in another field. This brings us to the nontraditional way of learning: Enrolling in a coding boot camp. Boot camps are short, intensive training programs offering hands-on learning for select programming languages.

Depending on the program structure, a camp can last several months, and you get a certificate in the end. Many companies hire boot camp graduates along with college graduates, making boot camps worthwhile alternatives to classroom learning.

3. Prepare to learn new skills 

Technology is always evolving and so are coding techniques. Be prepared to remain on top of developments in the development space and broaden your skill set. This is a crucial supplement to your education and background knowledge of the subject. 

Luckily, there are certification programs to help you on the way. Here’s a checklist of developer certifications you don't want to miss:

4. Join a community

Online communities are great for networking and connecting with like-minded individuals. StackOverflow, GitHub and CodeProject are popular forums for starting a discussion, sharing solutions and asking for help when you’re stuck on a line of code. 

Consider them the social media of computer science where you can make valuable contacts while learning. 

If you aspire to move out of the virtual realm for a change, opt for meetups and technical conferences. Better yet, participate in hackathons and coding fests with your code buddies and see who wins the challenge.

5. Get creative

Put your skills to test by building personal projects from the ground up. It could be a chatbot, a game or anything that challenges your mind. Once you complete a project, share the finished code with a coding network or community for constructive feedback and comments. 

Recreating existing projects and adding your own twist to them is beneficial as well.

6. Learn more as an intern

Nothing beats the experience of solving a real-world business problem as an intern. Because many internships are part-time, you can continue your education or regular job while picking up these valuable skills. 

Upwork and Fiverr are great for finding remote ad-hoc projects. It’s also worth looking into startups, as many are very welcoming of aspirants willing to learn on the job.

7. Make a stellar portfolio

How do you stand out from tens of thousands of applicants applying for the same jobs you are? The answer lies in a portfolio. 

A portfolio, which is a compilation of documented work and projects, gives potential recruiters a look at your abilities, which may increase your chances of getting hired. 

The way ahead

A developer is, first and foremost, a programmer and programming languages are the meat and potatoes of all things related to web and software. While there are many languages to choose from, start by selecting at least two. Python, Java, PHP and C# are some of the most in-demand programming languages. 

As you master new languages, apply them to real-world problems to reinforce your skills and motivate yourself to keep learning. 

One line at a time, code your way to the developer job you’re striving for.

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Wed, 19 Aug 2020 18:14:00 -0500 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 : Apache Kudu becomes top-level project

The Apache Kudu Project is, as of today, a top-level project within the open-source technology foundation. Originally contributed by Cloudera, the project is an effort to build a highly efficient and fast analytics platform for quickly moving data, such as streams.

Kudu, in practice, is actually a columnar storage manager for Hadoop. The system is designed to quickly process OLAP workloads, integrate with Spark, and to work with Apache Impala. This last feature enables the pair to perform the same function as HDFS combined with Parquet, another Hadoop-based columnar storage engine.

Overall, Kudu is highly available and extremely consistent, meaning it’s not suitable for partitions, but rather lives inside a single Hadoop installation as the analytics back end.

(Related: Hadoop Summit hints at platform’s growth)

Kudu had, up to now, been developed within the Apache Incubator. The first step after its move to top-level project is to head toward version 1.0. Todd Lipcon, vice president of Apache Kudu and software engineer at Cloudera, said, “Under the Apache Incubator, the Kudu community has grown to more than 45 developers and hundreds of users. We are excited to be recognized for our strong open-source community and are looking forward to our upcoming 1.0 release.

“Graduation to a top-level project marks an important milestone in the Apache Kudu community, but we are really just beginning to achieve our vision of a hybrid storage engine for analytics and real-time processing. As our community continues to grow, we welcome feedback, use cases, bug reports, patch submissions, documentation, new integrations, and all other contributions.”

Sun, 24 Jul 2022 12:00:00 -0500 en-US text/html
Killexams : Essential guide to cloud management


Organisations that are using cloud are increasingly looking to optimise hybrid workloads across on-premise and external cloud systems. This style of architecture raises issues around cloud management that demand a well thought-out strategy. A well-implemented cloud management strategy allows users to maintain control over public, private and hybrid clouds.

A good strategy considers areas such as self-service capability for resource provisioning; workflow automation; analysis of workloads; and the use of metrics to ensure optimum performance. A successful cloud management strategy also relies on skilled staff, knowledgeable in the nuances of private and public cloud technologies and capable of managing hybrid cloud workloads across multiple platforms.

All-Flash: The Essential Guide (PDF)

1Managing hybrid clouds-

Cloud management

Evaluate your cloud management strategy based on these key considerations

2What is hybrid cloud?-

Hybrid cloud strategy

What is a hybrid cloud and is it the right option for your organisation?

3Preparing for hybrid workloads-

Implementing hybrid cloud

Best practice advice for preparing, implementing, optimising and managing hybrid cloud workloads

4All about OpenStack-

Using OpenStack

The open source OpenStack environment is an increasingly popular tool for setting up enterprise hybrid clouds - find out more here

Thu, 24 Nov 2016 14:34:00 -0600 en text/html
Killexams : News Flashes

Dremio is extending its partnership with Amazon Web Services (AWS), announcing that Dremio Cloud is now available to purchase in the AWS Marketplace. Dremio Cloud, being available to purchase in AWS Marketplace, provides businesses with the freedom and flexibility to use their preferred procurement vehicle to adopt the open lakehouse platform, according to the vendor.

Posted August 04, 2022

Tresata is launching its Digital Business Platform (DBP) to aid businesses in delivering functional data to initialize digital transformations exclusively for data clouds. Through leverage of data exabytes in the cloud, DBP will be able to utilize enterprise data that would otherwise be abandoned to an unused data percentage. Automation of this utilization eradicates the need for extensive time and resources dedicated to monitoring and managing usable data.

Posted August 04, 2022

Telit, a provider of Internet of Things (IoT) solutions, and Thales, a global leader in Aerospace, Defense, Security and Digital Identity, have entered into an agreement under which Telit intends to acquire Thales' cellular IoT products. The intended transaction includes Thales' portfolio of cellular wireless communication modules, gateways, and data (modem) cards, ranging from 4G LTE, LPWAN to 5G.

Posted August 04, 2022

Flow Security is announcing its $10M seed round that facilitated the launch of a data security system that can locate and protect data, both at rest and in motion. Led by Amiti and backed by industry leaders like CyberArk CEO Udi Mokady, Demisto CEO, and co-founder Slavik Markovich, Flow Security's funding tackles data sprawl and security issues resulting from the industry shift towards cloud systems for data management.

Posted August 04, 2022

The continuous deployment (CD) company,, is launching its CD Self-Hosted and Managed 2.28 product release for development teams seeking to continuously deploy software at a variety of scales in a trusted and straightforward mode. According to the vendor, a large focus of this product release is to aid elite developer teams execute code seamlessly. Upon deployment of the code, CD Self-Hosted and Managed will handle processes like testing, staging, and production.

Posted August 04, 2022

ManageEngine is releasing Analytics Plus, an IT analytics product that is structured to consolidate analytics deployment onto a singular platform through a newly available SaaS option. Users will be able to easily deploy analytics on either public or private clouds in under 60 seconds, according to the vendor. The program will have the capability to be deployed in on-premises servers, Docker, or cloud platforms like Google Cloud and Azure.

Posted August 03, 2022

InfStones and Oracle are collaborating on integrating InfStones' blockchain development platform with Oracle Cloud Infrastructure (OCI) to accelerate Web3 development. This collaboration will help deliver important insights that drive the evolution, development, and adoption of Web3 applications worldwide, according to the vendors.

Posted August 03, 2022 is joining Oracle Fusion Sales, enabling customers to drive revenue transformation. "Oracle and share a vision for how revenue intelligence can help transform B2B selling and drive stronger revenue operations performance. We are excited to partner with to bring action-oriented cross-functional revenue insights across the entire B2B lifecycle to our mutual customers," said Des Cahill, group vice president global product marketing, Oracle Customer Experience Cloud.

Posted August 03, 2022

Hazelcast, Inc., home of the real-time data platform, is introducing the beta release of a new serverless offering under its Viridian cloud portfolio, dubbed Hazelcast Viridian Serverless. The platform enables companies to take immediate action on real-time data by speeding app development, simplifying provisioning, and enabling flexible and robust integration of real-time data into applications, according to the vendor.

Posted August 02, 2022

The latest version of the BackBox Automation Platform revolutionizes customer experience through on-premises or cloud capability options for SaaS. This release provides network automation for managed service providers (MSPs), managed security service providers (MSSP), and enterprise users who will now be able to decide which configuration best suits their needs in increasingly hybrid environments. Customers will also have access to new features, like the executive dashboard, which impact inventory analytics and automation performance for concise automation processes.

Posted August 02, 2022

Relativity has announced its partnership with Veritas Technologies to provide an integrated customer experience for users of RelativityOne, Relativity Server, Enterprise Vault, eDiscovery Platform, Veritas Advanced Discovery, and Discovery Accelerator. This partnership will provide its collective user base with Relativity's AI-driven communication surveillance platform (Relativity Trace) backed by Veritas' data archiving systems and search platform.

Posted August 02, 2022

CircleCI has announced its collaboration with GitLab Inc. in order to provide native support for customers seeking accessibility between GitLab Inc., The One DevOps Platform for software innovation, and CircleCI. As a result, customers will have access to tools available in all the aforementioned systems, allowing for greater choice and flexibility in software innovation processes.

Posted August 01, 2022

Acceldata has announced an alternative method for long-term data platform independence that will be available for Hortonworks Data Platform (HDP) and Cloudera Data Hub (CDH) customers. This alternative choice will streamline data platform usage by offering customers the option to stay on-premises with the current Hadoop release or migrate to a selected cloud data platform, eliminating forced migration.

Posted August 01, 2022

Avertium is releasing Fusion MXDR, a new service the security partner is providing for Microsoft Security customers, providing threat intelligence, attack surface monitoring, NIST CSF framework, and vulnerability management as part of a cyber maturity program for Microsoft Defender for Endpoint and Microsoft Sentinel.

Posted July 29, 2022

Mason, innovator a fully managed infrastructure for developing and delivering dedicated smart devices, is debuting the Mason X-Ray, a fully integrated device management and observability platform for remote debugging and resolution of issues on IoT smart devices.

Posted July 29, 2022

Snyk, a provider of developer security, is introducing Snyk Cloud, a comprehensive cloud Security Solution designed by and for developers. Thoughtfully designed with global DevSecOps teams in mind, Snyk's Cloud Security solution unites and extends existing products Snyk Infrastructure as Code and Snyk Container with Fugue's leading cloud security posture management (CSPM) capabilities, according to the vendor.

Posted July 28, 2022

CData Software, a provider of data connectivity and integration solutions, is offering an all-new AWS Glue client connector for CData Connect Cloud, expanding access to hundreds of data sources and destinations for AWS Glue customers. CData now offers cloud-native connectivity solutions that seamlessly integrate with the applications and systems previously unavailable within AWS Glue.

Posted July 28, 2022

Striim, Inc. is expanding its existing agreement with Microsoft to meet increasing customer demand for real-time analytics and operations by enabling customers to leverage Striim Cloud on Microsoft Azure. This move allows for continuous, streaming data integration from on-premises and cloud enterprise sources to Azure Synapse Analytics and Power BI, taking full advantage of the Microsoft Intelligent Data Platform.

Posted July 28, 2022

BigID, provider of a data intelligence platform, is introducing security and privacy aware access control for AWS Cloud infrastructure to reduce risk and automate role-based policies across AWS including S3, Redshift, Athena, EMR, and more with extended integrations. By using BigID, AWS customers can automate intelligent access control to enable and restrict access to their sensitive data—while creating business policies based on data sensitivity and context, according to the vendor.

Posted July 27, 2022

SAP released 27 new and updated Security Notes, including six High Priority notes, during its July patch release. Onapsis Research Labs (ORL) supported SAP in patching a Missing Authorization Check vulnerability in the highly sensitive SAP Enterprise Extension Defense Forces & Public Security application.

Posted July 27, 2022

GFOS mbH announced that its modular HR software, gfos 4.8, is certified by SAP to integrate with cloud solutions from SAP, helping organizations extract employee data from SAP SuccessFactors solutions to further process the information within the gfos software.

Posted July 27, 2022

OutSystems, a global leader in high-performance application development, announced it is now an official member of the SAP PartnerEdge program, with a Build focus, underscoring its commitment to providing high-value low-code to businesses using SAP solutions. While twice as many OutSystems customers connect to SAP technologies as any other system of record, the new relationship will make it even easier for additional businesses within the SAP ecosystem to discover and connect with OutSystems.

Posted July 27, 2022

SAP is acquiring Askdata, a startup focused on search-driven analytics, to help organizations make better-informed decisions by leveraging AI-driven natural language searches. With this acquisition, users are empowered to search, interact, and collaborate on live data to maximize business insights, according to the vendor.

Posted July 27, 2022

Modernization is now becoming a crucial part of the strategy for many companies and BlueFinity has worked with many MV customers on the successful modernization of their previously static MultiValue systems. For a fast-growing number of companies, the introduction of apps that provide complete integration with a company's existing MultiValue systems and databases has proved to be a successful way of modernizing.

Posted July 27, 2022

Whether users are delaying the move to Informer 5 due to a lack of migration and IT resources, the thought of transitioning reports, or other projects, Entrinsik wants to help facilitate the migration with some best practices and migration resources. Entrinsik provides users with a Migration Guide that has tools for a successful migration. The Data Gathering Workbook can collect and document the information needed during the Informer 4 to Informer 5 migration to keep track of its progress.

Posted July 27, 2022

Rocket Software is offering a series of livestreams featuring its product roadmap for the future. The Rocket MultiValue product roadmap outlines the vision, direction, priorities, and progress of a product over time. It represents the plan of both short and long-term goals for Rocket's products.

Posted July 27, 2022

Cloudian announced that HyperStore object storage is now validated to work with Microsoft Azure Stack HCI, giving Azure Stack HCI customers the scalability and flexibility benefits of public cloud in a secure and cost-effective, cloud-native storage platform within their own data centers.

Posted July 26, 2022

MANTA, the data lineage platform, is launching Release 37, offering new enhancements to data lineage platform that include modeling tool and scanner upgrades to offer efficient data lineage experiences for customers. With Release 37, MANTA further upgrades its platform to meet the modeling requirements of users scanning new properties into MANTA Flow to infer end-to-end data lineage.

Posted July 26, 2022

Schneider Electric announced it is making a series of updates to its vendor-agnostic and CPD-accredited digital education platform, Schneider Electric University, to address the data center sector skills gap. Available in 14 languages and accessible globally for free online, the dedicated professional development platform helps industry stakeholders upskill and stay up to date with the latest technology, sustainability, and energy efficiency initiatives affecting the data center sector.

Posted July 25, 2022

Augtera Networks, a provider of AI/ML-powered Network Operations platforms, is introducing a holistic Network AIOps Data Center solution, addressing the pain points, use cases APIs, ITSM integrations, equipment/vendor integrations, data types, and constructs specific to data centers.

Posted July 25, 2022

Model9, a provider of cloud data management for the IBM Z mainframe, announced it will participate in The Open Mainframe Project, an open source initiative with 20 programs and working groups that enable collaboration across the mainframe community to develop shared tool sets and resources.

Posted July 25, 2022

IBM is expanding its Power10 server line with the introduction of mid-range and scale-out systems to modernize, protect, and automate business applications and IT operations. The new Power10 servers combine performance, scalability, and flexibility with new pay-as-you-go consumption offerings for clients looking to deploy new services quickly across multiple environments.

Posted July 25, 2022

Pecan AI, a provider of AI-based predictive analytics for BI analysts and business teams, is adding one-click model deployment and integration with common CRMs, marketing automation, and other core business systems. Pecan's customers can now take immediate actions based on the highly accurate predictions for future churn, lifetime value, demand and other customer-conversion metrics generated by Pecan, according to the vendor.

Posted July 21, 2022

Dataiku is releasing Dataiku 11, a pivotal update of the company's data science and AI platform that helps organizations deliver on the promise of Everyday AI. This packed release provides new capabilities for expert teams to deliver more value at scale, enables tech-savvy workers to take on more expansive challenges, helps non-technical workers more easily engage with AI, and provides strengthened AI Governance to ensure projects are robust, transparent, and ready for success at scale.

Posted July 20, 2022

CData Software, a provider of data connectivity and integration solutions, is offering an all-new AWS Glue client connector for CData Connect Cloud, expanding access to hundreds of data sources and destinations for AWS Glue customers. CData now offers cloud-native connectivity solutions that seamlessly integrate with the applications and systems previously unavailable within AWS Glue.

Posted July 20, 2022

TIE Kinetix, a provider of supply chain digitalization and a current member of Oracle PartnerNetwork (OPN), announced that TIE Kinetix FLOW Connector for Oracle Fusion Cloud Supply Chain and Manufacturing is available on Oracle Cloud Marketplace. TIE Kinetix FLOW Connector for Oracle Fusion Cloud Supply Chain and Manufacturing now extends TIE Kinetix's cloud-native solution, EDI-2-FLOW, where Oracle Cloud SCM users have the opportunity to benefit from a fully integrated EDI solution via a standard connector.

Posted July 20, 2022

Oracle NetSuite is making updates to NetSuite Analytics Warehouse, helping organizations further enhance decision making and uncover new revenue streams. The latest updates boost the prebuilt data warehouse and analytics solution for NetSuite customers by making it easier for customers to blend relevant data sets and introducing new pre-built visualization capabilities.

Posted July 20, 2022

Oracle is introducing the Oracle Construction Intelligence Cloud Analytics platform, combing data from Oracle Smart Construction Platform applications to deliver owners and contractors a comprehensive understanding of performance throughout their operations. With this insight, organizations can quickly spot and correct issues and target ways to drive continuous improvement across project planning, construction, and asset operation, according to the vendor.

Posted July 20, 2022

NVIDIA is releasing a unified computing platform for speeding breakthroughs in quantum research and development across AI, HPC, health, finance, and other disciplines. The NVIDIA Quantum Optimized Device Architecture, or QODA, aims to make quantum computing more accessible by creating a coherent hybrid quantum-classical programming model.

Posted July 18, 2022

Mon, 03 Aug 2020 04:50:00 -0500 en text/html
Killexams : Displaying items by tag: businesses

Password Management solution delivers proactive, seamless approach to protecting privacy and login credentials for consumers and businesses; Password Management market expected to reach $3 billion by 2026

COMPANY NEWS: Lookout, Inc., a leading provider of endpoint and cloud security solutions, today announced it has acquired SaferPass, an innovative password management company that provides secure online identity solutions for both consumers and businesses. By adding password management technology to its suite of security solutions, Lookout is expanding on its mission to deliver proactive protection and safeguard customer data for individuals and businesses.

Sun, 24 Jul 2022 22:38:00 -0500 en-gb text/html
Killexams : Cazena launches Big Data-as-a-Service

A new company has emerged from stealth mode with an array of services designed to simplify Big Data processing in the cloud. After two years of development, Cazena has announced its Big Data-as-a-Service solutions.

“Many [CIOs] who were happy how appliances had simplified their data warehouse infrastructure were nevertheless wondering what the next platform would be,” said Prat Moghe, CEO of Cazena. “Could data infrastructure be made even simpler? This was the impetus for [us] to start thinking how the cloud could become the next platform for analytical data processing.”

(Related: Other tools for Big Data)

The vision behind Cazena was to provide Big Data on demand. The newly announced Big Data-as-a-Service solutions are split into three services and are designed to address a number of analytic workloads: Data Lake-as-a-Service, Data Mart-as-a-Service, and Sandbox-as-a-Service. Data Lake-as-a-Service allows users to stage and query raw data. Data Mart-as-a-Service offloads users and workloads to the cloud at a fifth of the cost of traditional systems, the company claimed. And Sandbox-as-a-Service gives data scientists a place to explore new ideas, according to Moghe.

“Cazena’s Big Data-as-a-Service reduces the time it takes to deliver data projects and provide access to users from months to days or even hours, for any type of analytic workload,” said Moghe. “[It] supports the full spectrum of best-of-breed database technologies, and makes it easy to accommodate change and leverage future technology innovation.”

According to Moghe, complexity and security challenges in the cloud has limited Big Data from reaching its full processing potential, but Cazena aims to address those problems with its workload intelligence, end-to-end automation and encrypted data cloud.

“We think the cloud is a big part of the future of Big Data processing,” said Moghe. “The cloud’s elasticity, flexibility and economics are a natural fit with Big Data’s rapid growth, variability, and innovation. Plus, lots of the fast-growing Big Data sources are already in the cloud. It’s important for enterprises to be able to continue taking advantage of this ongoing innovation rather than get locked in to a single technology.”

The company also announced a platform partnership with Cloudera to power its enterprise Data Lake-as-a-service solution.

“Cazena has developed a comprehensive managed service for enterprises that want to leverage the cloud for Big Data analytic workloads,” said Tim Stevens, vice president of business and corporate development at Cloudera. “Cloudera has set a new standard with our enterprise data hub offering and we are excited to partner with Cazena to further reduce complexity and time to value for our mutual customers.”

The services are still only in its beta phase, but Moghe said the company is planning for its general availability early this fall. “We’re making sure our beta customers are fully satisfied with the service before we pronounce it [read for] GA,” he said.

Fri, 22 Jul 2022 12:00:00 -0500 en-US text/html
Killexams : Insightly Raises Seed Round As It Targets Developer Productivity

How do you know whether staff are working efficiently? It’s an age-old problem for employers, but one that has come into even sharper relief as a result of the way Covid-19 has changed the workplace, particularly for software engineers. Insightly Analytics hopes it has some of the answers – and investors are backing it with a seed funding round to be announced today.

“The future of work is here now,” says Insightly’s founder and CEO Sudheer Bandaru of the way in which so many industries moved to remote or hybrid working practices during the pandemic, with no plans for a complete return to the workplace. “But we don’t have a means to manage it – to understand where that work is inefficient and how to put that right.”

Instead, says Bandaru, most businesses, including many otherwise technology-driven companies employing software engineers to solve complex problems, are sticking with old-fashioned methods. “People are going by their gut feelings, rather than the data-driven approach that most other functions of their business are employing,” he says. The result is that many companies don’t really know much about their workforce’s productivity – let alone how they might Strengthen it.

That’s where Insightly’s tools come in. The idea is to provide tools that automatically map the work done during the software engineering processes, and to make that analysis easily accessible through dashboards that provide leaders with access to key metrics and a snapshot of productivity at any given moment. Businesses can see how long each part of the development cycle is taking, identify where any bottlenecks are occurring, and invest to put those bottlenecks right.

This isn’t just important to pure-play technology companies, Bandaru points out. “In today's world, every company is a software company, and the speed and quality of software delivery heavily defines an organisation’s success.”

Too many businesses are falling short, Bandaru says, pointing to research from the payments company Stripe suggesting that as much as $300 billion is being wasted annually by businesses with inefficient software development processes. Improving engineering productivity is a top priority for nine in 10 businesses in the research, but many just don’t know how.

Insightly’s rapid growth since its commercial launch just six months ago suggest its solutions are resonating with customers. Already, the company has signed up around 50 customers – these businesses collectively employ around 12,000 software engineers whose productivity is now being analysed for insight.

Importantly, the company’s service is size- and geography-agnostic. Some of its early adopters have teams of only 50 engineers; others have in excess of 800. The company also has customers from around the world. They sign up as subscribers to Insightly’s software-as-a-service model, paying a monthly fee for each engineer they want to onboard.

The rapid early growth of the business – and the commonality of the problem it is targeting – has prompted investors to take a significant interest in Insightly. The company’s seed funding round, announced today, has seen it raise $1 million from a broad range of investors, led by Together Fund, a venture capital fund launched last year by a group of technology sector leaders.

“Engineering efficiency is one of the biggest factors for business performance in today’s world,” says Girish Mathrubootham, the CEO of Freshworks and one of the founders of Together Fund. “Enabling engineering teams with actionable insights to help them identify and fix bottlenecks will be crucial.”

Other investors in the project include engineering and product leaders from businesses including Notion, GitLab, Square, Google and Amazon, many of whom face exactly the issues that Insightly is targeting. That’s important, argues Bandaru, because it validates the business’s appeal to its core customer base.

Insightly says integration of its technology can take just a few minutes, with no requirements for new coding. The cash raised today will support further product development, with Bandaru pointing to the bespoke demands of many of its customers, as well as investment in sales and marketing.

Mon, 25 Jul 2022 18:00:00 -0500 David Prosser en text/html
Killexams : Mindtech Releases Part Two of Its Synthetic Data Guide

SHEFFIELD, England, July 27, 2022 — Mindtech Global has released part two of its synthetic data guide aimed at tackling visual AI’s training problems. It’s a how-to for resolving issues related to combining real-world images with computer-generated ones to optimize the performance of their AI model.

AI developers have become increasingly aware that feeding an AI network a compound of data generated by real-world and synthetic images is a sure-fire way to boost a network’s precision.

What’s less clear is exactly how much of each to include, and how to decide. There’s no simple answer or magic formula, according to Chris Longstaff, VP Product Management, Mindtech Global. Instead, teams need to ask themselves a series of questions about what they’re trying to achieve.

Longstaff said, “While it is of course up to the machine vision developer to decide how good is good enough, we’d recommend a starting point of around 90% synthetic data to 10% real — as there is both research validating this and empirical evidence this ratio has performed well in a great many use cases.

“But while Mindtech’s data generation platform, Chameleon, lets people create a great deal of synthetic data quickly, that choice must always be led by the needs of the problem visual AI developers are trying to solve.”

Read the article ‘What’s the ideal mix of Synthetic and Real Data to boost AI Accuracy’ here.

About Mindtech

Mindtech Global is the developer of the world’s leading end-to-end ‘synthetic’ data creation platform for the training of AI vision systems. The company’s Chameleon platform is a step change in the way AI vision systems are trained, helping computers understand and predict human interactions in applications ranging across retail, smart home, healthcare and smart city.

Source: Mindtech

Wed, 27 Jul 2022 05:18:00 -0500 text/html
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