Apache Hive is an open-source data warehouse framework that is directly stored in either the Apache Hadoop Distributed File System (HDFS) or other data storage systems, such as Apache HBase, for reading, writing, and maintaining massive data set files.
Apache Hive is designed to manage petabytes of data quickly by batch processing.
Based on your specifications, Apache Hive is simple to distribute and scale.
Let’s go through some of the best books to learn Apache Hive.
Best Apache Hive Books
1. Programming Hive: Data Warehouse and Query Language for Hadoop
Need to switch an application to Hadoop for a relational database? This detailed book “Programming Hive” takes you to Apache Hive, the data warehouse infrastructure of Hadoop.
You can quickly learn how to summarize, query, and evaluate large datasets stored in the distributed file system of Hadoop using Hive’s SQL dialect, HiveQL.
This example-driven guide shows you in your environment how to set up and configure Hive, provides a thorough overview of Hadoop and MapReduce, and shows how Hive functions in the Hadoop ecosystem.
You can also find real-world case studies explaining how Hive has been used by businesses to address specific issues involving data petabytes.
Create, alter, and drop databases, tables, views, functions, and indexes using Hive
Customize storage options and data formats, from files to external databases
Using queries, grouping, filtering, joining, and other traditional query methods to load and extract data from tables
What You Will Learn
- Gain best practices for the creation of user-defined functions (UDFs).
- You should use Learning Hive patterns and anti-patterns you should avoid.
- Integrate the Hive with other applications for data processing.
- Learn the pros and cons of running Hive on Elastic MapReduce from Amazon.
2. Apache Hive Essentials
This book on Apache Hive is for you, whether you are a data analyst, developer, or simply someone who wants to use Apache Hive to explore and analyze the data in Hadoop.
You will learn to find out how Apache Hive should coexist and collaborate with other Hadoop ecosystem tools to build big data solutions.
To analyze big data, understand the skills necessary, learn the best practices, and avoid the pitfalls by writing successful Hive queries.
Create an ecosystem for Big Data analysis using practical, example-oriented scenarios.
You will be familiar with Hive by the end of the book and will be able to work effectively to find solutions to big data problems.
3. Practical Hive: A Guide to Hadoop’s Data Warehouse System
Practical Hive is a book that is your go-to guide for using Hive. The authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen will teach you how to evaluate, export, and massage the data stored around your Hadoop ecosystem by learning HiveQL, the SQL-like language unique to Hive.
Practical Hive also provides a comprehensive explanation of the software, from installing Apache Hive on your hardware or virtual machine and setting up its initial configuration (setup) to discovering how Hive communicates with Hadoop, MapReduce, Tez, and other big data technologies.
In addition, the importance of open-source software, Hive performance tuning, and how to utilize semi-structured and unstructured data are covered in this practical book.
What You Will Learn
- How to install and configure Apache Hive for new and existing datasets.
- Learn to perform DDL operations.
- How to execute efficient DML operations.
- How to use the tables, partitions, buckets, and other user-defined functions.
- Explore performance tuning tips and Hive best practices.
4. Apache Hive A Complete Guide
Be your own consultant: With this book and its accompanying digital tools and resources, your Apache Hive risk becomes your reward.
With self-assessment, you will be able to cultivate an in-house knowledge base that cuts out expensive contractors and gives you a competitive advantage over others.
Learn to evaluate Apache Hive threats and risks from a wide variety of sources. In your company, products, and services, ensure consistent Apache Hive efficiency.
Plan and execute projects for Apache Hive that achieve your objectives and goals. With continuous guidance and support, lead your team confidently. This book will increase your understanding of Apache Hive in your area and expertise.
5. Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale
Prepare yourself to unlock the power of your data. With this new 4th edition of this detailed and definitive guide, you will be able to learn how to use Apache Hadoop to build and maintain stable, reliable, scalable, distributed systems.
For programmers who are looking to analyze datasets of any size and scale, and for administrators who want to set up and run Hadoop clusters, this book is a great choice.
Author Tom White presents new chapters on YARN and other Hadoop-related projects including Parquet, Flume, Crunch, and Spark using Hadoop 2 exclusively.
You will learn about recent Hadoop updates, and discuss new case studies on the role of Hadoop in data processing for healthcare systems and genomics.
So these are the 5 Best Apache Hive Books for Beginners to master.
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