In modern-day, data warehousing is immensely useful amongst large businesses. Data warehousing supports Business Intelligence(BI) tasks like decision-making and reporting. Mainly, data warehousing extracts data from multiple sources and stores them in a single centralized repository. Further, it improves data quality, has better decision-making capability, reduces data redundancy, increases efficiency, improves data regularity like privacy and security, and much, much more. We have come up with the 5 best data warehousing books to help you jump-start your business data-organization and achieve success.
The 5 Best Data Warehousing Books:
These books are carefully selected and described to help you choose one that most suit your needs. Delve further to introduce yourself to some of the best resources on data warehousing.
1. Kimball’s Data Warehouse Toolkit Classics, 3 Volume Set By Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Mundy, Bob Becker, Joe Caserta
This is a set of three bestseller books each of which focuses on data warehousing. All written by different authors, these books are a classic in data warehousing with many purchases and reviews. The first book written by Ralph Kimball consists of a collection of comprehensive data warehousing techniques. Most importantly, this book is what caused a stir in dimensional modeling. And ever since its publication in 1996, dimensional modeling came to be one of the most popular techniques in data warehousing. The second book focuses on best data warehouse practices and teaches how to make them more user-friendly. Consequently, the third book is all about ETL(Extract, Transform, Load). All in all, these books are a great place to initiate gathering knowledge on data warehousing.
2. Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema By Lawrence Corr and Jim Stagnitto
If you are on the lookout for a step-wise guide on creating efficient dimensional models, this book is your go-to. Mainly, the book revolves around BEAM(Business Event Analysis and Modeling). Basically, BEAM is a flexible addressing of dimensional modeling. Real interaction with real clients matters vastly in this model. Hence, you will not just be working with entity tools and a computer, but actual raw information for better data management. Incorporate the tactics in this book to your business to succeed further.
3. Building the Data Warehouse By W. H. Inmon
Techniques that have been invented and acquired by the author himself are incorporated in this bestseller. From the basics of data warehousing to handling unstructured data and mass media data storage, you get to grasp the idea as a whole. Further, the book extensively focuses on the advantages and disadvantages of multidimensional design and its comparison with relational design. Also, it includes valuable information on data testing and monitoring. In order to learn data warehousing along with all its new approaches, do give this book a shot.
4. The Modern Data Warehouse in Azure: Building with Speed and Agility on Microsoft’s Cloud Platform By Matt How
This book is a tad bit different from all others. It teaches you how to build a modern data warehouse. But, the data warehouse is built on the Microsoft Azure Platform. The advantages being speed, flexibility, and adaptation capability. If you are an ETL developer contemplating on moving to a cloud environment, this book is your perfect find. Furthermore, through the book you get to learn:
- Choosing the appropriate SQL engine for proper implementation
- Developing processes that can be used again and are up-to-date
- Use of tools like Powershell
- Proper ensuring of data consistency
- Event-driven architectures
- Advanced staging layers
To save time and improve the implementation of your data warehousing projects, turn to this book.
5. Data Mining and Data Warehousing: Principles and Practical Techniques By Parteek Bhatia
Written in comprehensive text, this book includes crucial topics like Decision Tree, Distance Metrics, Associate Mining, etc. It is intended for undergrad Computer Science students. But, it will greatly aid anyone looking for a reliable resource in Data Warehousing. Further, it comes with exercises and examples for better understanding and to take on the topic from a practical perspective. Moreover, advanced topics such as NoSQL and relational data models are given utmost importance so you can clearly grasp the contents and implement them.
You may also read: 5 DATABASE MANAGEMENT BOOKS TO SUCCEED AS A PROFESSIONAL
Conclusion:
In conclusion, data warehousing is vital to provide an organized overall view of an organization’s data. To analyze and access data efficiently, each of the above-mentioned books will help you set up the perfect data warehouse model for your system.