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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)

What you need for this book

The book was written using Elasticsearch 5.1.2, and all the examples used in the book should work with it. The request format used in this book is based on the Kibana Console and you’ll need Kibana Console or Sense Chrome plugin to execute the examples used in this book. Please refer to Query format used in this book section of Chapter 2, Setting up Elasticsearch and Kibana for more details. If using Kibana or Sense is not option, you can use other HTTP clients such as cURL or Postman. The request format is slightly different and is explained in the Using cURL or Postman section of Chapter 2, Setting Up Elasticsearch and Kibana.

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