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  3. Learning Elastic Stack 7.0

EBOOK

Learning Elastic Stack 7.0

Pranav Shukla
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Pages
474
Year
2019
Language
English
Publisher
Packt Publishing

About

A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0

The Elastic Stack is a powerful combination of tools for techniques such as 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 help you use 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 searching 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 the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.

Who this book is for
This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.

Related Subjects

  • General (Science)
  • Science
  • Adult Nonfiction
  • Data Visualization
  • Data Science
  • Computers
  • General (Data Science)
  • Data Warehousing

Artists

Pranav ShuklaAuthor
Sharath Kumar M. N.Author