Preface

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. In this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how you can 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 to perform both every day and uncommon tasks, such as how to deploy Elasticsearch nodes, integrate other tools to Elasticsearch, and create different visualizations. You will install Kibana to monitor a cluster and will 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.