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E-Book

E-Book, Englisch, 472 Seiten

Paro ElasticSearch Cookbook

Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch
2. Auflage 2025
ISBN: 978-1-78355-484-3
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

E-Book, Englisch, 472 Seiten

ISBN: 978-1-78355-484-3
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Key FeaturesBook DescriptionIf you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you’ve got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.What you will learn - Make ElasticSearch work for you by choosing the best cloud topology and powering it with plugins
- Develop tailored mapping to take full control of index steps
- Build complex queries through managing indices and documents
- Optimize search results through executing analytics aggregations
- Manage rivers (SQL, NoSQL, and webbased) to synchronize and populate crosssource data
- Develop web interfaces to execute key tasks
- Monitor the performance of the cluster and nodes
Who this book is for

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Paro Alberto :

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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