In this post, we have prepared a curated top list of reading recommendations for beginners and experienced. This hand-picked list of the best Elasticsearch books and tutorials can help fill your brain this December and ensure you’re getting smarter. We have also mentioned the brief introduction of each book based on the relevant Amazon or Reddit descriptions.
1. Elasticsearch: The Definitive Guide (2015)
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application.
Author(s): Clinton Gormley, Zachary Tong
2. Elasticsearch in Action (2015)
Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You’ll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you’ll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you’ll go on to gain an organized view of how to optimize your design.
Author(s): Radu Gheorghe, Matthew Lee Hinman
3. Learning Elastic Stack 6.0: A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana (2017)
The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about…
Author(s): Pranav Shukla, Sharath Kumar M N
4. Learning Elasticsearch: Structured and unstructured data using distributed real-time search and analytics (2017)
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch.
Author(s): Abhishek Andhavarapu
5. Elasticsearch Essentials (2016)
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.
Author(s): Bharvi Dixit
6. Designing Data-Intensive Applications (2017)
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
Author(s): Martin Kleppmann
7. Elasticsearch: A Complete Guide (2017)
You’ll start with the very basics: Elasticsearch terminology, installation, and configuring Elasticsearch. After this, you’ll take a look at analytics and indexing, search, and querying. You’ll learn how to create maps and visualizations. You’ll also be briefed on cluster scaling, search and bulk operations, backups, and security. Then you’ll be ready to get into Elasticsearch’s internal functionalities including caches, Apache Lucene library, and its monitoring capabilities.
Author(s): Bharvi Dixit, Rafal Kuc
8. Applied ELK Stack (2017)
Use the ELK (Elasticsearch, Logstash, and Kibana) stack to build systems that provide actionable insights and business metrics from data sources, including creating amazing visualizations and dashboards. Learn how to set up the ELK stack, build a data pipeline, and create customized plugins. Applied ELK Stack will teach you to configure the software, install tools, and build a data pipeline. You will learn the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins.
Author(s): Gurpreet S. Sachdeva
9. Elasticsearch: Your Complete Guide (2018)
Who will provide the final approval of Elasticsearch deliverables? What is our formula for success in Elasticsearch ? Meeting the challenge: are missed Elasticsearch opportunities costing us money? What may be the consequences for the performance of an organization if all stakeholders are not consulted regarding Elasticsearch? Have all basic functions of Elasticsearch been defined? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role…
Author(s): Gerardus Blokdyk
10. Mastering Elasticsearch 5.x (2017)
Master the searching, indexing, and aggregation features in ElasticSearch. Improve users’ search experience with Elasticsearch’s functionalities and develop your own Elasticsearch plugins. A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book.
Author(s): Bharvi Dixit
11. Relevant Search: With applications for Solr and Elasticsearch (2016)
Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You’ll learn how to apply Elasticsearch or Solr to your business’s unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating…
Author(s): Doug Turnbull, John Berryman
12. Elasticsearch 5.x Cookbook – Third Edition (2017)
Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x Who This Book Is For If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the book for you. Some understanding of JSON is expected.
Author(s): Alberto Paro
You might also be interested in: Ruby on Rails, SCADA, Arduino, Prestashop, Python, Spring, WEBRTC, Golang, Kubernetes, Ember.js Books.
Best Elasticsearch Books You Must Read
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Genesis and download some Elasticsearch books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
Learning Elasticsearch
Author(s): Abhishek Andhavarapu
Publisher: Packt Publishing, Year: 2017, Size: 5 Mb, Download: pdf
ID: 2120141
Mastering Elasticsearch 5.x Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions
Author(s): Dixit, Bharvi
Publisher: , Year: 2017, Size: 7 Mb, Download: epub
ID: 2188033
Elasticsearch 5.x Cookbook
Author(s): Alberto Paro
Publisher: Packt Publishing, Year: 2017, Size: 10 Mb, Download: pdf
ID: 2188061
Elasticsearch : a complete guide : end-to-end search and analytics : a course in three modules
Author(s): Dixit, Bharvi; Kuć, Rafal
Publisher: Packt Publishing, Year: 2017, Size: 89 Mb, Download: pdf
ID: 2188073
Learning Elastic Stack 6.0: A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana (Source Code)
Author(s): Pranav Shukla, Sharath Kumar M N
Publisher: Packt Publishing, Year: 2017, Size: 12 Mb, Download: zip
ID: 2203074
Learning Elastic Stack 6.0: A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
Author(s): Pranav Shukla, Sharath Kumar M N
Publisher: Packt Publishing, Year: 2017, Size: 31 Mb, Download: pdf
ID: 2203076
Learning Elasticsearch: Structured and unstructured data using distributed real-time search and analytics
Author(s): Andhavarapu, Abhishek
Publisher: Packt Publishing, Year: 2017, Size: 4 Mb, Download: pdf
ID: 2262618
Relevant Search: With applications for Solr and Elasticsearch
Author(s): Doug Turnbull, John Berryman
Publisher: Manning Publications, Year: 2016, Size: 6 Mb, Download: epub
ID: 1571447
Please note that this booklist is not final. Some books are really chart-busters according to Washington Post, others are written by unknown writers. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant books you could recommend? Leave a comment if you have any feedback on the list.