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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

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

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

Summary

In this chapter, you learned how to create data backups of an Elasticsearch cluster and restore them back into the same or another cluster. You also learned how to secure Elasticsearch clusters and load balance them using Nginx.

Finally, we have reached the end of the book, and we hope that you have had a pleasant reading experience. Elasticsearch is vast, and covering every tiny detail in this book was not possible. However, as per the goal, it covers almost every "essential" topic of Elasticsearch for developers to start from scratch and to be able to manage and scale an Elasticsearch cluster on their own. Most interestingly, this book serves both Java and Python programmers under one hood.

Not only has Elasticsearch matured, but the community around this technology is also much more mature now. If you face any issue, you can post your questions to the official user discussion group: https://discuss.elastic.co.

We also suggest you keep visiting the official blog of Elasticsearch...

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