Elasticsearch 7.0 Cookbook
eBook - ePub

Elasticsearch 7.0 Cookbook

Over 100 recipes for fast, scalable, and reliable search for your enterprise, 4th Edition

  1. 724 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Elasticsearch 7.0 Cookbook

Over 100 recipes for fast, scalable, and reliable search for your enterprise, 4th Edition

About this book

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 mapping, 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 big data applications such as Apache 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 architecture, 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 engineer, big data infrastructure engineer, 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 business decisions. Prior experience with Elasticsearch will help you get the most out of this book.

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Yes, you can access Elasticsearch 7.0 Cookbook by Alberto Paro in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Title Page
  2. Copyright and Credits
  3. About Packt
  4. Contributors
  5. Preface
  6. Getting Started
  7. Managing Mapping
  8. Basic Operations
  9. Exploring Search Capabilities
  10. Text and Numeric Queries
  11. Relationship and Geo Queries
  12. Aggregations
  13. Scripting in Elasticsearch
  14. Managing Clusters
  15. Backups and Restoring Data
  16. User Interfaces
  17. Using the Ingest Module
  18. Java Integration
  19. Scala Integration
  20. Python Integration
  21. Plugin Development
  22. Big Data Integration
  23. Another Book You May Enjoy