Elasticsearch Essentials
Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
Published on 13. January 2025
240 pages
978-1-78439-088-4 (ISBN)
Description
Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
Key Features
[*] 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)
Book DescriptionWith 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.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
Who this book is forAnyone 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.
Key Features
[*] 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)
Book DescriptionWith 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.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
Who this book is forAnyone 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.
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More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
File size
2,78 MB
ISBN-13
978-1-78439-088-4 (9781784390884)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
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Person
Bharvi Dixit is an IT professional with extensive experience of working on search servers, NoSQL databases, and cloud services. He holds a master's degree in computer science and is currently working with Sentieo, a USA-based financial data and equity research platform, where he leads the overall platform and architecture of the company spanning across hundreds of servers. At Sentieo, he also plays a key role in the search and data team. He is also the organizer of Delhi's Elasticsearch Meetup Group, where he speaks about Elasticsearch and Lucene and is continuously building the community around these technologies. Bharvi also works as a freelance Elasticsearch consultant and has helped more than half a dozen organizations adapt Elasticsearch to solve their complex search problems around 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, social search, and log monitoring. He has a keen interest in creating scalable backend platforms. His other areas of interests are search engineering, data analytics, and distributed computing. Java and Python are the primary languages in which he loves to write code. He has also built a proprietary software for consultancy firms. In 2013, he started working on Lucene and Elasticsearch, and in 2016, he authored his first book, Elasticsearch Essentials, which was published by Packt. He has also worked as a technical reviewer for the book Learning Kibana 5.0 by Packt. You can connect with him on LinkedIn at https://in.linkedin.com/in/bharvidixit or can follow him on Twitter @d_bharvi.
Content
Table of Contents
Getting started with Elasticsearch
Understand document analysis and create mappings
Put Elasticsearch into Action
Aggregations for analytics
Data looks better on the Map: Master Geo-spatiality
Document relationships in Nosql world
Different ways of search executions
Controlling relevancy
Cluster scaling in production deployments
Securing your cluster and taking backups
Getting started with Elasticsearch
Understand document analysis and create mappings
Put Elasticsearch into Action
Aggregations for analytics
Data looks better on the Map: Master Geo-spatiality
Document relationships in Nosql world
Different ways of search executions
Controlling relevancy
Cluster scaling in production deployments
Securing your cluster and taking backups
