Get yourself trained on Learning Elastic Stack with this Online Training Learning Elastic Stack 6.0.
Online Training Learning Elastic Stack 6.0
The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and the visualization of data from medium to massive datasets. The newly released Elastic Stack 6 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This course will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data-processing applications. After a quick overview of the newly introduced features in Elastic Stack 6, you’ll learn how to set up the stack by installing the tools, and explore their basic configurations. Then we demonstrates the creation of custom plugins using Kibana. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. After completing this course, you’ll have a solid foundational knowledge of basic Elastic Stack functionalities. You’ll also have a good understanding of the role each component in the stack plays to solve different data processing problems.About the AuthorPranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has diverse experience of over 14 years in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. He is a big data engineering, analytics, and machine learning enthusiast.Pranav founded Valens DataLabs with a vision to help companies leverage data to their competitive advantage. Valens DataLabs specializes in developing next-generation, cloudbased, reactive, and data-intensive applications using big data and web technologies. The company believes in agile practices, lean principles, test-driven and behavior-driven development, continuous integration, and continuous delivery for sustainable software systems.In his free time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket. You can reach him via email at pranav.shukla@valensdatalab and follow him on Twitter at @pranavshukla81.Sharath Kumar is currently working as a “Big Data Architect” at CA Technologies. Prior to this, he was working as an Elasticsearch Solutions Architect at Oracle. He has done his masters in Computer Science at The University of Texas, Dallas, USA. He is an Elastic Stack advocate, and being an avid speaker he has also given several tech talks in conferences such as the Oracle Code Event. He is a certified trainer-Elastic Certified Instructor-one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. You can reach him via email at mnsk07@gmail
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.