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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Summary

In this chapter, you learned the basic concepts of Elasticsearch. Elasticsearch REST APIs make most operations simple and straightforward. We discussed how to index, update, and delete documents. You also learned how distributed search works and how failures are handled automatically. At the end of the chapter, we discussed various strengths and limitations of Elasticsearch.

In the next chapter, we will discuss how to set up Elasticsearch and Kibana. Installing Elasticsearch is very easy as it's designed to run out of the box. Throughout this book, several examples have been used to better explain various concepts. Once you have Elasticsearch up and running, you can try the queries for yourself.

You have been reading a chapter from
Learning Elasticsearch
Published in: Jun 2017
Publisher: Packt
ISBN-13: 9781787128453
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