Learning Elastic Stack 7.0 - Second Edition

5 (1 reviews total)
By Pranav Shukla , Sharath Kumar M N
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  1. Section 1: Introduction to Elastic Stack and Elasticsearch

About this book

The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications.

The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments.

By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

Publication date:
May 2019
Publisher
Packt
Pages
474
ISBN
9781789954395

 

Section 1: Introduction to Elastic Stack and Elasticsearch

This section covers the basics of Elasticsearch and Elastic Stack. It highlights the importance of distributed and scalable search and analytics that Elastic Stack offers. It will includes concepts such as indexes, types, nodes, and clusters, and provide insights into the REST API, which can be used to perform essential operations such as datatypes and mappings.

This section includes the following chapters:

About the Authors

  • Pranav Shukla

    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 over 14 years' experience 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. Pranav founded Valens DataLabs with the vision of helping companies to leverage data to their competitive advantage. In his spare time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket.

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  • Sharath Kumar M N

    Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath 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. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.

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Latest Reviews

(1 reviews total)
The installation and usage of elastic search Kibana are easy to read and according this book ,I can run the cluster step by step.

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