Search, analyze, store and manage data effectively with Elasticsearch 8.x
Key Features
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
Book DescriptionElasticsearch 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.
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
Who this book is forIf 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.
Key Features
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
Book DescriptionElasticsearch 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.
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
Who this book is forIf 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.
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