File Size: 1687 KB.
Print Length: 459 pages.
Formats: PDF, ePUB & mobi.
(4.5 / 5) (13 votes).
- Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications
- Create large-scale Elasticsearch clusters and perform analytics using aggregation
- A comprehensive guide to help you get up and running with Elasticsearch 5.x in no time
You will install and set up Elasticsearch and its related plugins, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. Furthermore, you will also learn to handle document relationships, work with geospatial data, take data backups, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Packed with easy-to-follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch 5.x, and know how to utilize its capabilities efficiently.
What you will learn
- Set up and configure a single/multi node cluster
- Discover steps to ingest structured and unstructured data using Elasticsearch
- Find out how to query Elasticsearch with a high degree of performance and scalability
- See how to slice and dice your data using Elasticsearch aggregations
- Organize your data in Elasticsearch efficiently using indexing and sharding
- Manage and deploy production clusters
- Build and deploy a real world ecommerce search application using Elasticsearch
About the Author
Abhishek Andhavarapu is a software engineer with vast experience in building highly scalable distributed systems. He is currently working as a software engineer at eBay where he is currently building order search over billion of orders for millions of users using eBay.
Abhishek began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards that can slice and dice data very easily to gain insights into the data. After prototyping with several NoSQL databases such as MongoDB, Cassandra, and Basho, he realized that Elasticsearch is like nothing out there for searching. He worked on multiple enterprise Elasticsearch applications currently serving millions of requests per day. He enjoys biking, tennis, and is a big fan of Star Wars.