How can we become Elastic Certified Engineers?

What is an elastic engineer? Before defining elastic search. I give you a brief explanation that you are in the field of data science and big data and you may have heard about elastic search and you might be wondering that how does search engine technology helps you in extracting meaning from your data at scale. How do you get answers in milliseconds? Let’s talk about that it started off as a scalable lucence version.it adds a horizontally scalable search

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(Weekly Roundup) Top AI, Data Science, Analytics Appointments In India

Source:-https://analyticsindiamag.com/ Earlier this week, Bengaluru-based analytics company Course5 Intelligence announced leadership changes across its business verticals. The company has appointed Jayachandran KR as the senior vice president of AI Labs; Raman Khatri as vice president of sales for pharma analytics; Bhupinder Grewal as vice president, corporate strategy (FP and A); Imran Saeed as vice president, global head – CPG; Kapil Malhotra as VP, digital and advanced analytics; Sidharth Sivasailam as vice president of products; and Vishal Dhruve as the product

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How Azure Cloud is shaping the future of cloud services

Source:-https://wire19.com/ Cloud computing is quickly gaining ground in the business world and Microsoft Azure is taking the lead. About 84% of enterprises had a multi-cloud strategy in 2019. Gartner’s Top Strategic Trends for 2021 has established that organizations require a strong AI strategy to make sure that their projects don’t stall. With cloud computing showing no signs of reducing in its application and Microsoft taking a strong lead, it is important to examine what Azure Cloud is and how it

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HOW TO MANAGE SECRETS IN KUBERNETES

Source:-analyticsindiamag.com Kubernetes is currently the de-facto standard for container orchestration. As organizations globally are adopting a Container first development approach, a large part of existing workloads is still running on virtual machines, be in the public cloud or a private data centre. Hence a lot of companies are now facing severe challenges in migrating from their old methods to Kubernetes. However, there are times when you want bake-in sensitive secret information into your Kubernetes cluster and share it across when

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DataOps and Beyond: How DevOps Methodology Transformed Our Approach to Data Science

Source:-devops.com The DevOps methodology has become synonymous with forward technical thinking–a workplace culture that reinforces best cultural practice and promotes more, better quality output by synchronizing the functions of development and operations teams. As a testament to its popularity, the term has expanded in reach to refer to a broader set of transformational software-related practices. The list continues to grow: DevTestOps, DevSecOps, GitOps, DataOps. In 2020, organizations are drawing upon thousands—if not tens of thousands—of data sources, which exist in

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New Google Cloud Feature Simplifies Data Science Deployments

Source:-cdotrends.com Google Cloud this week announced a new feature that can make it significantly easier for system administrators and data scientists to set up and maintain their specialized data infrastructure environments in the cloud. Called “machine images”, the new feature essentially stores all the information needed to restore a virtual machine. While this can already be done by an older feature known as “custom images”, machine images can span multiple disks and contains instance properties of individual machines, instance metadata,

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dotData Achieves AWS Machine Learning Competency Status

Source:-aithority.com Company Achieves Milestone Just Eight Months After Joining the AWS Partner Network, Proving Technical Validity and Customer Success of dotData’s AutoML 2.0 Platform dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. dotData achieved AWS ML Competency status only eight months after joining the AWS Partner Network (APN). The certification recognizes dotData as an APN Partner that accelerates the full-cycle ML

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Acxiom Makes Its Data Available to AWS Customers on AWS Data Exchange

Source:-martechcube.com Acxiom®, the data and technology foundation for the world’s best marketers, today announced its selection as a Launch Partner for AWS Data Exchange, a new service that makes it easy for Amazon Web Services (AWS) customers to securely find, subscribe to and use third-party data in the cloud Martech News. AWS Data Exchange will provide access to Acxiom’s expansive aggregated data for marketing analytics, including data from countries across EMEA, APAC and the Americas. “We built AWS Data Exchange

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10 LEADING COURSES & TRAINING PROGRAMMES FOR CLOUD COMPUTING IN INDIA: 2019

Source:-analyticsindiamag.com Cloud computing is the future of every organisation. The technology offers a solution which helps organisations in managing data, without the problem of a mandatory physical presence. It provides a combination of hardware and software hosted on the internet to store, manage, and process our data. Few of the industry tech giants involved in the cloud computing industry are — Amazon, Google, IBM, and Microsoft, however, there are now several startups who are providing seamless cloud computing services. To

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Tracking Google Cloud at RSNA 2019

Source:-aithority.com The 105th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) kicked off on December 1, 2019, at McCormick Place in Chicago, IL. We are tracking leading AI and Machine Learning, Cloud Computing and Automation companies participating at RSNA 2019. In the week-long event, Google Cloud is one of the major attractions. The leader in Cloud computing technologies is showcasing its Cloud expertise for the Healthcare and Life Sciences industry. Recommended: 13 Tips For Conquering

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Michael Berthold on End-to-End Data Science Using KNIME Analytics Platform

Source:-infoq.com Open source data analytics platform KNIME CEO and co-founder Michael Berthold gave the keynote presentation at this year’s KNIME Fall Summit 2019 Conference. He spoke about the end-to-end data science cycle which mainly includes Create and Productionize categories. The Create category includes “Gather & Wrangle” and “Model & Visualize” phases, whereas the Productionize category consists of “Deploy and Consume” & “Optimize” phases. The Gather & Wrangle phase, when using KNIME software, supports several connectors & transformation nodes and big

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HOW MICROSOFT’S AZURE SYNAPSE ANALYTICS WILL HELP DEVELOPERS & BUSINESSES

Source:-analyticsindiamag.com One of the important announcements of the recently-concluded Ignite conference by Microsoft was Azure Synapse Analytics. This comes along as an exciting innovation that promises to fill the gap between data warehouse and data lakes.  Data warehouse and data lakes are an essential requisite for many companies. However, the challenge till now has been that these two do not work in concert with one another, making the decision-making process quite With Azure Synapse Analytics, Microsoft aims to bring data

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How Far Digital Turbine, Inc. (APPS) Will Fall Today

Source:-findanews.com Stay Ahead of Wall Street. Find out what is happening to Digital Turbine, Inc. (NASDAQ:APPS) stock today? Its price is nose-diving -0.51 points, trading at $7.01 levels, and is down -6.77% from its previous close of $7.52. The shares seem to have an active trading volume day with a reported 817921 contracts so far this session. APPS shares had a relatively better volume day versus average trading capacity of 2.18 million shares, but with a 73.19 million float and

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Going Serverless with AWS

Source:-mediatemple.net Despite its name, serverless doesn’t mean servers are absent—that is impossible because code still needs to run somewhere. Rather, the trick is that serverless allows you to stop worrying about where and how exactly the code will be run.  In this two-part series, we’ll dive into the history of serverless in order to understand this difference correctly. We’ll then explore the benefits and limitations of Amazon Web Services (AWS) Lambda, as well as general approaches to building serverless applications. 

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DevOps now most sought-after skill, and with good reason

Source:-zdnet.com If one seeks evidence of how hot DevOps is these days, look to demand for appropriate skills as an indicator. And DevOps skills top the list these days. That’s the word from a survey of 250 IT managers from OpsRamp, which finds widespread demand for DevOps capabilities and skills. For starters, nearly two-thirds are actively seeking a DevOps approach.  DevOps skills are more in demand than any other IT-related skill, even surpassing cloud and data science skills. Close to two-thirds of

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Splunk .conf19 Conference Focuses On Turning Data Into Doing

Source:-forbes.com Splunk and 11,000 or so of their closest friends—including more than 2,200 partners—hung out in Las Vegas last week for the .conf19 conference. Splunk executives unveiled a number of innovations and initiatives and presented a roadmap and vision for Splunk that focused on using its Data-to-Everything platform to turn data into doing. They packed a lot into .conf19. The keynote session on Tuesday morning was filled with significant announcements related to innovations within Splunk and Splunk’s investment and participation

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Four Big Factors Shaping the Future of Data Science

Source:- insidebigdata.com In this special guest feature, Ryohei Fujimaki, Ph.D., Founder and CEO of dotData, discusses how AI and ML are having a profound impact on enterprise digital transformation becoming crucial as a competitive advantage and even for survival. As the field grows, four trends emerge, shaping data science in the next five years. dotData is a spin-off of NEC Corporation and the first company focused on delivering full-cycle data science automation for the enterprise. Dr. Fujimaki is a world-renowned data

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The Power of Kubernetes Done the Right Way

Source:-cio.comIn projects under way in the Dell EMC HPC and AI Innovation Lab, data science teams are leveraging Kubernetes containers to streamline and accelerate the development of deep learning solutions. At the Dell EMC HPC and AI Innovation Lab in Austin, we’re focused heavily on the development, training and optimization of deep learning models that run in high performance computing environments. These models invariably come with a complex software stack that makes them difficult to deploy on individual servers, let

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LazyDocker – simple terminal UI aims to make Docker easier

Source : – jaxenter.com Do you struggle with memorizing Docker commands? LazyDocker is a simple, yet customizable, terminal user interface for Docker and Docker-compose. It was written with the minimalistic Go library, gocui. Watch the demo video and see how this project can help programmers with Docker commands and container tracking. Have a case of summertime lethargy? Go on, be a little lazy. This new open source tool from Jesse Duffield aims to help make Docker a little easier, taking some

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The Basics of CI/CD for Data Science and Machine Learning

Source:- informationweek.com Continuous integration and continuous deployment are IT practices that encourage testing code often. Learn how these practices also shape data-driven initiatives. The basics behind how machine learning and data science should work often feel less than basic. Machine learning practitioners from programmers to scientists are learning how to apply advanced statistics and mathematical application within the context of software programming. The result is complexity in selecting good machine learning models that conflict with management’s options at hand, be it

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