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Elasticsearch 8.x Cookbook - Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise (Paperback, 5th Revised edition)
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Elasticsearch 8.x Cookbook - Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise (Paperback, 5th Revised edition)
Expected to ship within 10 - 15 working days
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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.
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