Mastering Elasticsearch 5.x - Third Edition: Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions Contributor(s): Dixit, Bharvi (Author) |
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ISBN: 1786460181 ISBN-13: 9781786460189 Publisher: Packt Publishing OUR PRICE: $52.24 Product Type: Paperback Published: February 2017 |
Additional Information |
BISAC Categories: - Computers | Databases - Data Warehousing - Computers | Databases - General |
Physical Information: 0.87" H x 7.5" W x 9.25" (1.61 lbs) 428 pages |
Descriptions, Reviews, Etc. |
Publisher Description: About This Book
If you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book. What You Will Learn
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use. |