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ElasticSearch Cookbook

You're reading from ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

Product type Paperback

Published in Dec 2013

Publisher Packt

ISBN-13 9781782166627

Length 422 pages

Edition 1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Alberto Paro

View More author details

Table of Contents (14) Chapters

Preface

1. Getting Started FREE CHAPTER

2. Downloading and Setting Up ElasticSearch

3. Managing Mapping

4. Standard Operations

5. Search, Queries, and Filters

6. Facets

7. Scripting

8. Rivers

9. Cluster and Nodes Monitoring

10. Java Integration

11. Python Integration

12. Plugin Development

Index

Who this book is for

This book is for developers who want to start using both ElasticSearch and at the same time improve their ElasticSearch knowledge. The book covers all aspects of using ElasticSearch and provides solutions and hints for everyday usage. The recipes are reduced in complexity to easily focus the reader on the discussed ElasticSearch aspect and to easily memorize the ElasticSearch functionalities.

The latter chapters that discuss the ElasticSearch integration in JAVA and Python, shows the user how to integrate the power of ElasticSearch in their applications.

The last chapter talks about advanced usage of ElasticSearch and its core extension, so some skilled Java know-how is required.

The rest of the chapter is locked

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Authors (1)

Alberto Paro

Alberto Paro

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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