Elasticsearch 7.0 Cookbook: Over 100 recipes for fast, scalable, and reliable search for your enterprise, 4th Edition

Author:   Alberto Paro
Publisher:   Packt Publishing Limited
Edition:   4th Revised edition
ISBN:  

9781789956504


Pages:   724
Publication Date:   30 April 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Elasticsearch 7.0 Cookbook: Over 100 recipes for fast, scalable, and reliable search for your enterprise, 4th Edition


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Author:   Alberto Paro
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   4th Revised edition
ISBN:  

9781789956504


ISBN 10:   1789956501
Pages:   724
Publication Date:   30 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Getting started Managing Mapping Basic Operations Exploring Search Capabilities Text and Numeric Queries Relationship and Geo Queries Aggregations Scripting in Elasticsearch Managing Cluster Backup and Restore User Interfaces Using the Ingest module Java Integration Scala Integration Python Integration Plugin Development Big Data Integration

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Author Information

Alberto Paro is an engineer, project manager, and software developer. He currently works as Big Data Practice Leader in NTTDATA in Italy on big data technologies, native cloud, and NoSQL solutions. He loves to study emerging solutions and applications mainly related to cloud and big data processing, NoSQL, NLP, and neural networks. 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 the state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL datastores, and related technologies.

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