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Elasticsearch Essentials

You're reading from Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

Product type Paperback

Published in Jan 2016

Publisher

ISBN-13 9781784391010

Length 240 pages

Edition 1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Bharvi Dixit

View More author details

Table of Contents (18) Chapters

Elasticsearch Essentials

Credits

About the Author

Acknowledgments

About the Reviewer

www.PacktPub.com

Preface

1. Getting Started with Elasticsearch FREE CHAPTER

2. Understanding Document Analysis and Creating Mappings

3. Putting Elasticsearch into Action

4. Aggregations for Analytics

5. Data Looks Better on Maps: Master Geo-Spatiality

6. Document Relationships in NoSQL World

7. Different Methods of Search and Bulk Operations

8. Controlling Relevancy

9. Cluster Scaling in Production Deployments

10. Backups and Security

Index

Chapter 9. Cluster Scaling in Production Deployments

Until now, we have been more focused about the search and data analytics capabilities of Elasticsearch. Now is the time to learn about taking Elasticsearch clusters in production while focusing on best practices.

In this chapter, we will cover the following topics:

Node types in Elasticsearch
Introducing Zen-Discovery
Best Elasticsearch practices in production
Cluster creation
Scaling your clusters

The rest of the chapter is locked

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Authors (1)

Bharvi Dixit

Bharvi Dixit

Bharvi Dixit is an IT professional with extensive experience of working on search servers, NoSQL databases, and cloud services. He holds a master's degree in computer science and is currently working with Sentieo, a USA-based financial data and equity research platform, where he leads the overall platform and architecture of the company spanning across hundreds of servers. At Sentieo, he also plays a key role in the search and data team. He is also the organizer of Delhi's Elasticsearch Meetup Group, where he speaks about Elasticsearch and Lucene and is continuously building the community around these technologies. Bharvi also works as a freelance Elasticsearch consultant and has helped more than half a dozen organizations adapt Elasticsearch to solve their complex search problems around different use cases, such as creating search solutions for big data-automated intelligence platforms in the area of counter-terrorism and risk management, as well as in other domains, such as recruitment, e-commerce, finance, social search, and log monitoring. He has a keen interest in creating scalable backend platforms. His other areas of interests are search engineering, data analytics, and distributed computing. Java and Python are the primary languages in which he loves to write code. He has also built a proprietary software for consultancy firms. In 2013, he started working on Lucene and Elasticsearch, and in 2016, he authored his first book, Elasticsearch Essentials, which was published by Packt. He has also worked as a technical reviewer for the book Learning Kibana 5.0 by Packt. You can connect with him on LinkedIn at https://in.linkedin.com/in/bharvidixit or can follow him on Twitter @d_bharvi.

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