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Elasticsearch 7.0 Cookbook Cover

Elasticsearch 7.0 Cookbook

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

Publisher:Packt Publishing Limited
By:   
Paid access
|Apr 2019
Product purchase options
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 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.

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
https://github.com/packtpublishing/elasticsearch-7.0-cookbook
PDF ISBN: 978-1-78995-902-4
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing
Publication date: 2019
Language: English
Pages: 724
Related subjects:
Computer sciences,
Computer sciences, other
BISAC subjects:
COM061000,
COM018000,
COM005030
Thema subjects:
UTD,
UNC,
GPH,
UFL,
KJC

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