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Key benefits

Explore the capabilities of Elasticsearch 8.x with easy-to-follow recipes

Extend the Elasticsearch functionalities and learn how to deploy on Elastic Cloud

Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies

Description

Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics. The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to 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 Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch.

Who is this book for?

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

What you will learn

Become well-versed with the capabilities of X-Pack

Optimize search results by executing analytics aggregations

Get to grips with using text and numeric queries as well as relationship and geo queries

Install Kibana to monitor clusters and extend it for plugins

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

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Amazon verified reviews

Ronnie Watson Jun 02, 2022

Reading this book gave me some insights on how I can configure Elasticsearch so that I am able to manage a clusters data or provision the stack for business use.

Amazon Verified review

Rishav Rohit Jul 06, 2022

I have been using Elasticsearch in various projects for sometime. By following this cookbook I was able to explore many exciting features of Elasticsearch like suggesting a correct query, parent-child queries, ingest pipelines, integration with Apache Spark, etc. I can already think of few use cases in my project which can be benefited with what I learnt from this book. I would strongly recommend this book to my colleagues working with Elasticsearch too.

Andrew Anderson Jun 01, 2022

Lucky to have a month to dive into this practical guide before official release, and I couldn't be more surprised at the detail and variety of walkthroughs that are covered. Many best practices and operational examples are provided, covering from routine to advanced tasks involved with administration and optimization of a running production cluster, or clusters. The Kibana UX is standardizing, and though costly, there are pertinent screenshots and code examples of all recipes throughout! I will forever keep this book as a reference, learning tool, and refresher given whatever the state of a cluster I am working on. Thanks for the copy Packt!

Amazon Customer Jun 13, 2022

I'm impressed with how the cookbook was put together, it explains the reader step by step how to setup, configure and optimize a running environment. I know each situation is different and someone can argue that a there's no 'recipe' for every situation. But this book gives you a very good understanding (through examples) of how things work and how you may apply them in your product. Long story short, I have been working with ES for the last 7 years and I this book gave me some insight that I highly appreciate.

Arunachalam Lakshmanan Jul 01, 2022

As in many cookbooks, it gives a precise guide on what the feature is, how it can be done and how it works. "There's more.." section of each recipe is interesting. But there are some advanced topics like percolator could be handled better, as the original documentation of elasticsearch is not as good as other topics. It's a great reference guide for several elasticsearch features of 8.0It's a new edition of the previous book. I was expecting a "what's new with 8.0" section

Elasticsearch 8.x Cookbook: Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise , Fifth Edition

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