7 Best Books To Learn Elasticsearch From Scratch & Move Up

Best elasticsearch books
 

Elasticsearch is a Lucene-based distributed search server, and the primary focus of this kind of search is relevance, scale, and speed. Using the three metrics is indeed metamorphosing how the world utilizes the data.

 

Are you looking forward to learn about Elasticsearch in detail, if yes then you must refer to some of the best Elasticsearch books.

 

You can find a myriad of such books on the internet, and finding one from the many options may feel overwhelming for many. Fret no more. Our team did some research and in consultation with Elasticsearch experts, we bring you the bestselling books.

 

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Elasticsearch Reading Material You Shouldn’t Miss!

1. Elasticsearch: The Definitive Guide: A Distributed Real-Time Search and Analytics Engine 1st Edition

 

Elasticsearch: The Definitive Guide
Rating 4.2
Format Kindle and Paperback
Length 958 pages
Level Beginner to Advanced
Author Zachary Tong
Publisher O’Reilly Media

 

Ranked at the top of our list is this book that follows a problem-based approach. So, as you learn through different topics, you will then work on dedicated problems to assess your learning.

 

What will you learn in these best Elasticsearch books?

There is a lot for you in this one of the best books to learn Elasticsearch. It can equip you with all the knowledge to comprehend:

  • Complexities associated with human relationships, language, and geolocation
  • Integrating Elasticsearch into the application and learning how it interprets data
  • Summarizing and grouping the data to understand trends with analytics and aggregations
  • Configuration and analysis of the cluster in production
  • Making the most of horizontal scalability
  • Employment of geo-points and geo-shapes
  • Working with the queries and analyzers
  • Indexing and querying the data to make the most of search concepts

 

Who should read this book?

This Elasticsearch book is best for newcomers (with some idea about Elasticsearch) interested in distributed and search systems. Further, advanced users can also use this book to familiarize themselves with more advanced techniques.

 

Cons

  • Unfortunately, the book might not be the best pick for absolute beginners with no prior knowledge
  • Some topics in the book seem dated.

 

 

2. Elasticsearch 7.0 Cookbook

 

Elasticsearch 7.0 Cookbook
Rating 3.9
Format Kindle and Paperback
Length 726 pages
Level Intermediate
Author Alberto Paro
Publisher Packt Publishing

 

This book contains detailed recipes, explaining all that is new and the latest in Elasticsearch 7. The book has innumerable recipes to help you perform aggregation, index mapping, and scripting with Elasticsearch.

 

Take an online Elasticsearch course, along with that once you are through with this textbook, you will be well-versed with Elasticsearch architecture implementation. You will also know how to manage store, and search data effectively and efficiently with these best Elasticsearch books.

 

What will you learn?

It is the best book to learn Elasticsearch. Some things you can expect to learn with this book are:

  • Extending Elasticsearch functionalities
  • Deploying on Elastic Cloud
  • Optimizing the search data by employing analytics aggregations
  • Understanding the potential of Elasticsearch 7 with easy-to-follow recipes
  • Managing and deploying some straightforward Elasticsearch nodes and a few complicated cluster topologies
  • Creating advanced mapping to get absolute control of index steps
  • Building a top-notch architecture with Elasticsearch
  • Governing documents and indices to design complex queries
  • Keeping a tab on the performance of the nodes and cluster
  • Installing Kibana to monitor groups and extending it for plugins
  • Integrating Elasticsearch in big data applications, Python, Scala, and Java apps.
  • and Java apps.

 

Who should read this book?

This Elasticsearch book will prove beneficial for:

  • Big data infrastructure engineer
  • Software engineer
  • FMCG industry data professionals
  • People who employ search analytics to get deeper insights and make informed business decisions
  • Elasticsearch developer
  • Data professionals working in the e-commerce
  • Anyone who utilizes Elastic for metrics evaluation

 

What do you need?

This is not a book for beginners. So, prior experience with Elasticsearch is recommended before starting with the book.

 

Cons

  • Some older methods can be found in the book. The author must try to amend them in the next edition.
  • This Elasticsearch book is not suitable for beginners.
  • Some topics need greater detailing but are barely touched upon.

 

 

3.  Learning Elastic Stack 7.0: Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

 

Learning Elastic Stack 7.0
Rating 3.9
Format Kindle and Paperback
Length 476 pages
Level Beginner to Intermediate
Author Pranav Shukla and Sharath Kumar M N
Publisher Packt Publishing

 

Elastic Stack 7.0 covers all the latest capabilities and features, which equip you to find more profound insights into analytics.

 

What will you learn?

This book has a multitude of things for you to learn. Some of them are listed below:

  • New updates and features in Elastic Stack 7.0
  • This is one of the best Elasticsearch books to get tips for using Elastic Cloud
  • Elastic Stack fundamentals, such as Kibana, Logstash, and Elasticsearch
  • Solving full-text search problem with Elasticsearch
  • Employing Elastic Stack in production environments
  • Building real-time data processing applications
  • Setting up the stack
  • Exploring fundamental stack configurations
  • Data visualization
  • Developing custom plugins with Beats and Kibana
  • Learning about the Elastic X-Pack
  • Using aggregations to find powerful analytics capabilities
  • Learning to use, monitor, and secure Elastic Stack’s reporting and alerting features
  • Designing interactive dashboards for compelling storytelling with Kibana
  • Creating a data pipeline for transferring data to different sources for analysis

 

Who should buy this book?

This is one of the best Elasticsearch books for:

  • Entry-level data professionals
  • Full-stack developers
  • E-commerce developers
  • Software engineers
  • People who wish to learn Elastic stack
  • Someone interested in the working of real-time processing and search engine
  • Anyone utilizing Elasticsearch for enterprise search applications and enterprise search applications

 

What do you need?

This is the best book to learn Elasticsearch. However, you must possess prior knowledge of database concepts and data warehousing for this book.

 

Cons

  • Even in the newer edition, the changes in 7.0 are not included.
  • Index Lifecycle Management topic is not covered in the book.
  • Some inconsistencies are found in topics.
  • A few codes have not been reviewed.

 

 

4. Learning Elasticsearch 7.x: Index, Analyze, Search and Aggregate Your Data Using Elasticsearch

 

Learning Elasticsearch 7.x: Index, Analyze, Search and Aggregate Your Data Using Elasticsearch
Rating 3.9
Format Kindle and Paperback
Length 310 pages
Level Beginner to Intermediate
Author Anurag Srivastava
Publisher BPB Publications

At number fourth, we have another of the best Elasticsearch books, which provides you with a step-by-step guide on using Elasticsearch in your applications. We live in a world of IT.

 

Everyday new content is uploaded on the internet. Hence, you need to know how to handle and transform this data to derive meaningful information from the same, which is precisely the book’s core objective.

 

What will you learn?

This book will teach you several things. Some of them have been listed below:

  • Key Elasticsearch concepts
  • Learning the search engine operation
  • Index Management, creating, deleting, and updating indices
  • Reviewing top Information Security certifications
  • Installation of Elasticsearch on various OS
  • Data importing from different sources, such as files and RDBMS
  • Understanding the difference between Elasticsearch and other similar software
  • Understanding Kibana, Logstash, and Beats
  • Working of Query DSL
  • Writing complex search queries with Query DSL
  • Handling Geodata
  • Understanding Data Analysis with Aggregation
  • Tuning Elasticsearch performance
  • Elasticsearch administration

 

Who should buy this book?

This is one of the best Elasticsearch books for:

  • Database administrators
  • Developers
  • Architects
  • DevOps engineers
  • Readers who wish to learn to use Elasticsearch efficiently

 

What do you need?

For this book, you must have prior computer programming knowledge.

 

Cons

  • The book seems unstructured.
  • In multiple places, explanations are missing.
  • Examples are quite trivial
  • Codes are pretty basic

 

 

Related: How does Elasticsearch make money?

 

5. Elasticsearch Essentials: Harness The Power Of Elasticsearch To Build And Manage Scalable Search And Analytics Solutions With This Fast-Paced Guide

 

Elasticsearch Essentials
Rating 4.5
Format Kindle and Paperback
Length 240 pages
Level Intermediate learners
Author Bharvi Dixit
Publisher Packt Publishing

 

Are you new to Elasticsearch? If yes, this is one of the best Elasticsearch books for you. The book is a practical guide and contains easy-to-follow practical examples for assessment and a clear explanation of every concept.

 

Though it is pretty fast-paced, it offers you rich content, primarily focused on practical implementation. Across the book, you will study the prevalent errors and solutions with screenshots and code to guarantee success.

 

What will you learn?

There are several things you will learn with this book. Some of them are listed below:

  • Handling prevalent issues that a developer should know for bulk data handling
  • Designing large-scale Elasticsearch clusters with top-notch practices
  • Learning advanced Elasticsearch concepts and the REST APIs
  • Understanding the plethora of queries and finding their correct use
  • Write CRUD operations
  • Excelling in query optimization and data modeling concepts
  • Writing search functionalities with Python and Java clients
  • Building analytics with aggregations
  • Learning to take data backups
  • Setting up and scaling Elasticsearch clusters
  • Design schema and mappings
  • Getting well-equipped with geospatial data and document relationships

 

Who should buy this book?

This is one of the best Elasticsearch books for:

  • Anyone who aspires to develop efficient search and analytics applications
  • Skilled developers with prior experience in Lucene or Solr

 

What do you need?

This is a fast-paced book. So, you must take it up only if you have some fundamental knowledge.

 

Cons

  • Newer updates have been introduced but are missing from the book.
  • The author must release the latest and more updated versions.

 

 

6. Elasticsearch in Action Paperback

 
 

Elasticsearch in Action Paperback
Rating 4.2
Format Kindle and Paperback
Length 496 pages
Level Elasticsearch book for Beginners
Author Radu Gheorghe,  Matthew Lee Hinman, and Roy Russo
Publisher Manning Publishers

 

Searching for anything on a search engine seems magical in today’s world. You type a few words from your query, and the search engine starts suggesting the possible things you may be searching for.

 

Elasticsearch only takes this a notch higher. Thanks to their analytics engine and real-time search, the tool provides the users with a one-of-a-kind experience.

 

What will you learn?

This is one of the best books to learn Elasticsearch. A few things covered in the book are:

  • Building scalable search solutions
  • Attributes of a great search app
  • Configuring and tuning Elasticsearch
  • Using Elasticsearch for different languages
  • Implementing basic searches and efficient indexing
  • Elasticsearch’s REST API via HTTP
  • Optimizing your design
  • Write apps that assure top-notch search
  • Better search results with relevancy ranking and predictive analysis

 

What do you need?

This is one of the beginner-friendly best Elasticsearch books. You do not need to be familiar with low-level programming or understand advanced data science algorithms to read and comprehend this book.

 

Who should read this book?

  • Administrators and developers who build and manage search-oriented applications

 

Cons

  • The coding text is not highlighted, which makes it a bit hard for the eyes to comprehend.

 

 

7. Learning Elasticsearch: Structured And Unstructured Data Using Distributed Real-Time Search And Analytics

 
 

Learning Elasticsearch
Rating 3.8
Format Kindle and Paperback
Length 404 pages
Level Intermediate
Author Abhishek Andhavarapu
Publisher Packt Publishing

 

Next, we have one of the top-selling books on the internet. It is rich with easy-to-follow examples, which makes understanding the concepts easier.

 

What will you learn?

This is one of the best Elasticsearch books and has a couple of things for you to learn. Some of them are:

  • Setting up and configuring Kibana and Elasticsearch
  • Understanding the ingestion of unstructured and structured data with Elasticsearch
  • Learning how the search engine works
  • Familiarization with scoring and relevance
  • Knowing how to query Elasticsearch with good scalability and performance
  • Bettering user experience by employing geolocation queries and autocomplete
  • Handling document relationships
  • Handling documents with Distribute document store
  • Performing aggregation-based analytics seamlessly
  • Data indexing
  • Data visualization
  • Understanding of Elasticsearch APIs

 

Cons

  • The author just quickly rushes through concepts. Most students might not find it understandable. So, greater detail is needed.
  • Some concepts are dated.

 

 

8.  Bonus Free eBooks available via GitHub

Bonus Free eBooks available via GitHub
 

If you do not want to spend on books and want something to learn Elasticsearch the right away, GitHub has some free ebooks. You can browse through them to find the best book to learn Elasticsearch as per your requirements.

 

 

Conclusion

So, these are some of the best Elasticsearch books. We have tried to include all details pertaining to these books through this guide. However, if you need to know more about any of the above-listed books, you can click on the annexed links and find relevant details.

 

Happy Learning!