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Elasticsearch Essentials, by Bharvi Dixit
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Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
About This Book- New to ElasticSearch? Here's what you need—a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no time
- Get the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancy
- Learn to create large-scale ElasticSearch clusters using best practices
- Learn from our experts—written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch)
Anyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly.
What You Will Learn- Get to know about advanced Elasticsearch concepts and its REST APIs
- Write CRUD operations and other search functionalities using the ElasticSearch Python and Java clients
- Dig into wide range of queries and find out how to use them correctly
- Design schema and mappings with built-in and custom analyzers
- Excel in data modeling concepts and query optimization
- Master document relationships and geospatial data
- Build analytics using aggregations
- Setup and scale Elasticsearch clusters using best practices
- Learn to take data backups and secure Elasticsearch clusters
With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.
This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we'll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Style and approachThis is an easy-to-follow guide with practical examples and clear explanations of the concepts. This fast-paced book believes in providing very rich content focusing majorly on practical implementation. This book will provide you with step-by-step practical examples, letting you know about the common errors and solutions along with ample screenshots and code to ensure your success.
- Sales Rank: #241885 in eBooks
- Published on: 2016-01-30
- Released on: 2016-01-30
- Format: Kindle eBook
About the Author
Bharvi Dixit
Bharvi Dixit is an IT professional with an extensive experience of working on the search servers (especially Elasticsearch) and NoSQL databases. He is currently working as a technology and search expert with GrownOut, a SAAS-based referral hiring solution provider company. He is the organizer and speaker of Delhi's Elasticsearch Meetup Group, which is one of the fastest growing Elasticsearch communities in India. He also works as a freelance Elasticsearch consultant and has helped many small to medium size organizations in adapting Elasticsearch for different use cases such as, creating search solutions for big data-automated intelligence platforms in the area of counter-terrorism and risk management as well as in other domains such as recruitment, e-commerce, finance and log monitoring. He holds a master's degree in computer science from LBSIM - Delhi, India, and has a keen interest in creating scalable backend platforms. His other interest area are data analytics, distributed computing, automations, and DevOps. Java and Python are the primary languages in which he loves to write code, and he has already built a proprietary software for consultancy firms. In his spare time, he loves writing blogs and reading the latest technology books. He can be connected through LinkedIn at https://in.linkedin.com/in/bharvidixit.
Most helpful customer reviews
0 of 0 people found the following review helpful.
we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practice
By ruben
This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
0 of 0 people found the following review helpful.
Great coverage on Elasticsearch!
By Bill Jones
Using Elasticsearch at work and needed to have some material to help me become more familiar with the product. With a ELK stack this book was incredibly helpful and realistic to the approach to object data we're working with in sets. I highly recommend integrating a kanban board with ES in order to take full advantage of ES. I felt the book was very well organized, clearly written, and easy to follow along. CRUD is where it is at in the real world so the fact that it is included in the book was really great.
0 of 0 people found the following review helpful.
Really great resource for starting out with Elasticsearch
By Tim Crothers
I've been using Elasticsearch for over four years so I didn't expect this book to teach me anything. While I don't agree with everything the author says (statements like "All real-world data comes in object form") I loved the book overall and even managed to pick up a few useful tidbits I didn't know. The author uses a very straight-forward and practical approach to gaining fundamental skills in using Elasticsearch. Very good resource.
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