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

(ebook) (audiobook) (audiobook) Książka w języku 1
Autor:
Alberto Paro
Elasticsearch 8.x Cookbook. Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Fifth Edition Alberto Paro - okladka książki

Elasticsearch 8.x Cookbook. Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Fifth Edition Alberto Paro - okladka książki

Elasticsearch 8.x Cookbook. Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Fifth Edition Alberto Paro - audiobook MP3

Elasticsearch 8.x Cookbook. Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise - Fifth Edition Alberto Paro - audiobook CD

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Stron:
750
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Do przechowalni

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.

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O autorze książki

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.

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