10 Best Books To Read About Hive
Hive is a popular open-source data warehousing and SQL-like query language that runs on top of Apache Hadoop. It allows users to write SQL-like queries, known as HiveQL, to analyze data stored in Hadoop Distributed File System (HDFS). Hive has gained popularity due to its ease of use and integration with existing SQL-based tools and infrastructure.
Suppose you’re curious about the capabilities and possibilities of Hive in the realm of big data processing and analysis. In that case, the following list of top 10 Hive books can comprehensively understand the technology. These hive books cater to various skill levels, from novice to expert, and delve into topics such as data modeling, optimization, and performance tuning. Whether you are a data analyst, developer, or engineer, these resources can serve as valuable assets for enhancing your knowledge and skills in Hive.
10 Best Hive Books To Read
| # | Books | Author | Published | Rating (out of 5) |
| 1 | Apache Hive Essentials | Dayong Du | 1 Jan 2018 | Amazon: 4.5 |
| 2 | Instant Apache Hive Essentials How-to | Darren Lee | 3 Jun 2013 | Amazon: 5.0 |
| 3 | Apache Hive Query Language in 2 Days: Jump Start Guide | Pak L. Kwan | 11 Dec 2016 | Amazon: 4.2 |
| 4 | 99 Apache HIVE Interview Questions for Professionals | Yogesh Kumar | 8 Oct 2018 | Amazon: 4.8 |
| 5 | The Ultimate Guide To Programming Apache Hive | Fru Nide | 6 Jul 2015 | Amazon: 5.0 |
| 6 | Learn Hive in 1 Day | Krishna Rungta | 24 Nov 2016 | Amazon: 5.0 |
| 7 | Apache Hive | Gerardus Blokdyk | 16 Aug 2018 | Amazon: 4.0 |
| 8 | Apache Hive SerDe Regex | Shafi Shaik | 6 Jan 2021 | Amazon: 4.4 |
| 9 | Top 50 Apache Hive Interview Questions and Answers | Knowledge Powerhouse
|
30 Dec 2016 | Amazon: 4.2 |
| 10 | Practical Hive | Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard | 28 Sep 2016 | Amazon: 4.4 |
Let us look at the Hive Books and see which one best suits your needs:-
Book #1: Apache Hive Essentials
Author Name: Dayong Du
Get this book here.
Book Review
This book offers a comprehensive introduction to Apache Hive, covering everything from basic concepts and installation to advanced topics, such as data modeling, optimization, and performance tuning, and is an essential buy for all who want to explore different attributes of Big Data using Hive. This concise volume introduces readers to Big Data and the working procedure in the Hive environment.
Key Takeaways
- The book explains how Hive can query and analyze data using SQL-like commands and integrate it with other tools in the Hadoop ecosystem.
- The author provides practical examples of designing and optimizing data models for Hive and strategies for improving query performance and scalability.
- The book also covers Hive’s integration with other tools, such as HBase and Spark, and its use in real-world applications like log analysis and recommendation systems.
Book #2: Instant Apache Hive Essentials How-to
Author: Darren Lee
Get this book here.
Book Review,
A practical and easy-to-use guide to Apache Hive, offering step-by-step instructions for common Hive use cases. The author designed the book to provide a quick reference for users who need to perform specific tasks using Hive. Whether new to Hive or an experienced user, this book offers practical insights and information to help you get the most out of this powerful tool.
Key Takeaways
- Focus on practical examples and use cases. It covers a range of tasks, from basic HiveQL queries to more advanced topics like data modeling and optimization. Each task is presented clearly and concisely, with code snippets and screenshots illustrating the process.
- The book emphasizes troubleshooting and problem-solving. It includes tips and techniques for diagnosing and resolving common issues that users may encounter when working with Hive.
- The book also covers some of Hive’s latest features and enhancements, such as support for ACID transactions and vectorized query execution.
Book #3: Apache Hive Query Language in 2 Days: Jump Start Guide
Author: Pak L. Kwan
Get this book here.
Book Review
A practical and concise guide to Apache Hive Query Language (HiveQL), an excellent resource for anyone looking to learn HiveQL quickly and efficiently. This book covers all the topics necessarily required to jump-start Apache Hive programming. Once you go through this book, you will be able to create internal and external hive tables, as well as load data into the tables.
Key Takeaways
- The book provides clear and detailed instructions for using HiveQL to process and analyze data, with plenty of code snippets and sample queries to illustrate the process.
- The book covers the basics of HiveQL syntax, data manipulation, analysis, and more advanced topics such as partitioning, indexing, and optimization.
- The author designed the book as a jump-start guide, offering readers a quick and efficient way to learn the basics of HiveQL and start using it immediately.
Book #4: 99 Apache HIVE Interview Questions for Professionals
Author: Yogesh Kumar
Get this book here.
Book Review
“Apache HIVE Interview Questions for Professionals” By Yogesh Kumar is an extensive guide that provides a comprehensive range of interview questions related to Apache Hive. Hive is a widely used SQL-like data warehousing and analysis tool that runs on top of Hadoop. The author designed the book to assist professionals in preparing for interviews related to Hive, focusing on both technical and practical questions.
Key Takeaways
- Covers various topics, from basic HiveQL queries to more advanced topics, like optimization and performance tuning. It also includes questions about Hive’s integration with other tools and platforms.
- Includes many questions based on common problems and issues that professionals encounter when using Hive, making it a valuable resource for gaining practical insights into Hive-related challenges.
- Includes tips and best practices for answering interview questions, such as approaching technical questions and effectively demonstrating your expertise in Hive.
Book #5: The Ultimate Guide To Programming Apache Hive
Author: Fru Nde
Get this book here.
Book Review
“The Ultimate Guide to Programming Apache Hive” is an exhaustive guide to programming with Apache Hive, a popular SQL-like data warehousing and analysis tool that runs on top of Hadoop. The book covers everything from basic concepts and features to more advanced topics such as data modeling, performance tuning, and optimization.
Key Takeaways
- It covers the basics of HiveQL and Hive’s query language and demonstrates how to use it to manage data and build queries.
- The book covers advanced data modeling, partitioning, and optimization topics.
- Discusses Hive’s integration with other tools and platforms. It is a valuable resource for developers and data engineers looking to integrate Hive into their data processing workflows.
Book #6: Learn Hive in 1 Day
Author: Krishna Rungta
Book Review:
A beginner-friendly guide to Apache Hive, a SQL-like tool for data warehousing and analysis. The author designed “Learn Hive in 1 Day” to provide readers with the essential knowledge and skills needed to start working with Hive quickly. With its beginner-friendly approach, hands-on examples, and coverage of the latest features, this book can help readers become proficient in Hive in just one day.
Key Takeaways
- Focus on hands-on examples and exercises using Hive to process and analyze data, with plenty of code snippets and sample queries to illustrate the process.
- Comprise some of Hive’s latest features and enhancements, such as support for ACID transactions and vectorized query execution.
- Provides clear and detailed instructions for using HiveQL to process and analyze data, with plenty of code snippets and sample queries to illustrate the process.
Book #7: Apache Hive
Author: Gerardus Blokdyk
Get this book here.
Book Review
Anyone looking to understand Hive?” Apache Hive” by Gerardus Blokdyk is a highly informative and complete guide to Apache Hive, a robust data warehousing and analysis tool used in big data processing. The book provides readers with a clear understanding of the tool’s architecture, components, and query language and valuable tips for optimizing queries and integrating Hive with other platforms.
Key Takeaways
- Coverage of Hive’s architecture and components.
- Coverage of HiveQL, Hive’s query language
- Includes tips and best practices for working with Hive, such as optimizing queries and using Hive with other tools and platforms.
Book #8: Apache Hive SerDe Regex
Author: Shafi Shaik
Get this book here.
Book Review
The book includes best practices and tips for working with SerDe Regex in Apache Hive, a robust SQL-like data warehousing and analysis tool that runs on top of Hadoop. The book provides readers with a clear understanding of using SerDe Regex to process and analyze data in Hive, making it an invaluable resource for developers and engineers looking to use Hive for big data processing and analysis.
Key Takeaways
- Delivers clear and detailed instructions for using SerDe Regex in Hive, with plenty of code snippets and sample queries to illustrate the process.
- Offers practical examples and tips for optimizing Hive queries and improving performance
- Contains info on de-serializer and serializer
- Features ten real-world scenarios in context to regular expressions
Book #9: Top 50 Apache Hive Interview Questions and Answers
Author: Knowledge Powerhouse
Get this book here.
Book Review
In the book “Top 50 Apache Hive Interview Questions and Answers” by Knowledge Powerhouse, readers can expect to find a comprehensive guide to preparing for Hive-related job interviews. The book addresses a wide range of topics related to Hive, including basic concepts, HiveQL syntax, data modeling, and optimization, and critical concepts such as differentiating between Pig and Hive and understanding the Hive Metastore.
Key Takeaways
- The book’s organization into basic, intermediate, and advanced sections makes it easy for readers to focus on areas where they may need more practice or study.
- The book emphasizes practical use cases and real-world scenarios.
- Delivers readers with a clear understanding of what employers seek regarding Hive knowledge during job interviews.
Book #10: Practical Hive
Author: Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard
Get this book here.
Book Review
The authors take a step-by-step approach to teach readers HiveQL, the SQL-like language specific to Hive, and provide practical examples for analyzing, exporting, and manipulating data stored across the Hadoop environment. This book is a valuable resource for anyone looking to become proficient in Hive and use it effectively for big data processing and analysis.
Key Takeaways
- Cover everything from deploying Hive on your hardware or virtual machine to optimizing queries for performance.
- Includes integrating Hive with other big data platforms like Hadoop and Spark.
- Offers clear and detailed instructions for using HiveQL to process and analyze data.
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