Elasticsearch 7.0 Cookbook, 4th Edition

Elasticsearch 7.0 Cookbook, 4th Edition Front Cover
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724 pages

Book Description

Search, analyze, and manage data effectively with Elasticsearch 7

Key Features

  • Extend Elasticsearch functionalities and learn how to deploy on Elastic Cloud
  • Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies
  • Explore the capabilities of Elasticsearch 7 with easy-to-follow recipes

Book Description

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.

Packed with recipes on performing index , aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and applications such as Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.

By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch , and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.

What you will learn

  • Create an efficient architecture with Elasticsearch
  • Optimize search results by executing analytics aggregations
  • Build complex queries by managing indices and documents
  • Monitor the performance of your cluster and nodes
  • Design advanced mapping to take full control of index steps
  • Integrate Elasticsearch in Java, Scala, Python, and big data applications
  • Install Kibana to monitor clusters and extend it for plugins

Who this book is for

If you're a software , big data infrastructure , or Elasticsearch developer, you'll find this book useful. This Elasticsearch book will also help data professionals working in the e-commerce and FMCG industry who use Elastic for metrics evaluation and search analytics to get deeper insights for better decisions. Prior experience with Elasticsearch will help you get the most out of this book.

Table of Contents

  1. Getting started
  2. Managing Mapping
  3. Basic Operations
  4. Exploring Search Capabilities
  5. Text and Numeric Queries
  6. Relationship and Geo Queries
  7. Aggregations
  8. Scripting in Elasticsearch
  9. Managing Cluster
  10. Backup and Restore
  11. User Interfaces
  12. Using the Ingest module
  13. Java Integration
  14. Scala Integration
  15. Python Integration
  16. Plugin Development
  17. Big Data Integration

Book Details

  • Title: Elasticsearch 7.0 Cookbook, 4th Edition
  • Author:
  • Length: 724 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-04-30
  • ISBN-10: 1789956501
  • ISBN-13: 9781789956504
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