Get yourself trained on Elasticsearch 6 and with this Online Training Elasticsearch 6 and Elastic Stack – In Depth and Hands On!.
Online Training Elasticsearch 6 and Elastic Stack – In Depth and Hands On!
Elasticsearch is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It’s an increasingly popular technology, and a valuable skill to have in today’s job market. If youre a technologist who wants to add Elasticsearch to their tool chest for searching and analyzing big data sets, then go for this Learning Path.This comprehensive 3-in-1 course is a hands-on guide to using Elasticsearch in conjunction with Elastic Stack, to search, analyze, and visualize data with Elasticsearch, Logstash, Beats, Kibana, and more. You will gain a firm understanding of all the fundamentals of Elasticsearch 6 to build efficient search and analytics applications using Elasticsearch 6. You will also learn what Elastic stack is all about, and how to use it efficiently to build powerful real-time data processing applications. This course covers each and every concept of ElasticSearch and Elastic Stack with the help of practical examples making it easy for you to understand and implement in your own applications.This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Elasticsearch 6, begins with explaining you what is Elasticsearch, what is it used for, and why is it important. You will then be introduced to the new features of Elasticsearch 6 and its fundamental components such as indices, documents, nodes and clusters, all which form the dichotomy of Elasticsearch. You will also learn how to add more power to your searches using filters, ranges, and more. Next, you will explore how Elasticsearch can be used with the other components of the Elastic Stack such as LogStash, Kibana, and Beats, to get data into an Elasticsearch cluster. Finally, you will develop a Elasticsearch application.In the second course, Learning Elastic Stack 6.0, 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. You will then demonstrate the creation of custom plugins using Kibana. You will also get some useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments.The third course, Mastering ElasticSearch 6.x and the Elastic Stack, focuses on two major use cases with Elasticsearch. The first use case is on leveraging the powerful full-text search engine ElasticSearch is built on, allowing developers to add blazingly fast search features to applications. The second use case is on leveraging different components of the Elastic Stack to continuously monitor applications, infrastructure, or even customer transactions.By the end of this Learning Path, you will be well-versed with the concepts of Elasticsearch and Elastic Stack to build complete, open source solutions for storing, managing, analyzing, and visualizing structured and unstructured data.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data-centric technologies. He is also the Founder of XResults, where the vision is to harness the power of big data to deliver intuitive customer-facing solutions, largely to non-technical professionals. Ethan is Harvard-educated in the areas of data science and software engineering. He began using Elasticsearch in 2012 and delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted globally with firms in a cross-section of industry verticals, from the U.S. to the Far East.Pranav 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 startups. 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, cloud-based, 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.Sharath Kumar M N has done his masters in Computer Science at The University of Texas, Dallas, USA. He has been in the IT industry for more than ten years now and is the Elasticsearch Solutions Architect at Oracle. 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. Sharath is a certified trainerElastic Certified Instructorone 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. He is also a data science and machine learning enthusiast. In his free time, he enjoys trekking, listening to music, playing with his lovely pets Guddu and Milo and the geek in him loves exploring his Python skills for stock market analysis.Chris Fauerbach is an active technical expert in the area of cybersecurity and the Elastic Stack. As a seasoned software engineer, he’s built multiple commercial products on the Elastic Stack and has a passion for teaching. Chris continues to research new technologies and explore new ways to solve problems. As he has become an expert in his field, he has been focusing primarily on writing and teaching.
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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.