Are you looking for the best data warehousing books in today’s market? Are you struggling to find a comprehensive book to help sharpen your knowledge of data warehousing? If you answered yes to any of the above questions, this is the right place for you. By now, you must have known how complicated data warehousing can get for students and professionals.
Fortunately, you can crack the data processing complications if you pay attention to studying the right books. However, finding the right book can be stressful if you don’t know where to look. This is why this article focuses on recommending top data warehousing books based on content and user reviews. Keep reading to learn about the best data processing books available in the market today.
If you want to just get back to studying, get our top pick for data warehousing books here.
Last update: 2024-05-01
Our Favorites for Best Data Warehousing Books
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition by Ralph Kimball
This groundbreaking edition of The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling introduces the industry to dimensional modeling. It is one of the complete materials for dimensional modeling techniques out there, and it features a very comprehensive collection. The book covers important data modeling topics, including new and enhanced star schema dimensional modeling patterns, ETL techniques, and more.
Despite its encompassing contents, it is the simple but compelling style adopted to write this book that stands it out for most readers. The authors’ ability to draw real case studies from the daily activities of different industries makes the book very relatable. It’s a great book for both students and professionals practicing data warehousing in the real world.
What Makes it Unique:
- Unlike the previous editions, this one goes more in-depth and covers several updated dimensional modeling techniques.
- The authors of the book are popularly known as influential leaders in data warehousing and business intelligence.
- Throughout this book, real-world case studies are drawn from different industries such as finance, retailing, education, e-commerce, telecommunication, etc.
Why Choose this Data Warehousing Book:
- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition explains the process and structure of data Warehousing in an easily understandable manner.
- The use of several real-world illustrations makes it a great book for understanding the practicalities of data warehousing.
- It features an impressive organization that starts from DW tables and moves to design concepts and ETL architecture variations.
- Kimball, Ralph (Author)
- English (Publication Language)
- 600 Pages - 06/21/2013 (Publication Date) - Wiley (Publisher)
Last update: 2024-05-01
Building a Scalable Data Warehouse with Data Vault 2.0 by Daniel Linstedt and Michael Olschimke
Building a Scalable Data Warehouse with Data Vault 2.0 covers everything that readers would need to create a complete and scalable warehouse from scratch successfully. The book includes sections that border on explaining data vault modeling techniques. This book’s contents can serve as a foundation for anybody interested in data warehousing to learn the process of creating technical data warehouse layers.
A major part of this book focuses on discussing easy steps to incrementally build the data warehouse using the agile Data Vault 2.0 methodology. Readers are also guaranteed detailed information on how the input layer of the Data Vault 2.0 is created, as well as how the data mart performs.
What Makes it Unique:
- Building a Scalable Data Warehouse with Data Vault 2.0 offers an in-depth explanation of how each layer is loaded using SQL server Integration services.
- Instead of being a jack of all trades, this book focuses on simplifying the important technologies and practices in data warehousing.
- It draws its contents from years of top-level experience. Therefore featuring a framework that’s comprehensive and easy-to-understand.
Why Choose this Data Warehousing Book:
- Although a hard read, this book is worth all the effort you’ll put into it.
- Building a Scalable Data Warehouse with Data Vault 2.0 is popularly taunted as one of the most complete and detailed data warehousing books. It covers everything you’ll need to build a data warehouse vault from scratch.
- Amazon Kindle Edition
- Linstedt, Daniel (Author)
- English (Publication Language)
Last update: 2024-05-01
Runner Ups for Best Data Warehousing Books
Big Data: Principles and best practices of scalable realtime data systems by Nathan Marz and James Warren
Obviously, one of the few database warehousing books available for people without prior-exposure to NoSQL tools or large-scale data analysis, Big Data: Principles and best practices of scalable realtime data systems offer enough information to help you build from scratch. A bulk of this book focuses on teaching readers to use an architecture that leverages on clustered hardware to build big data systems. It offers a detailed description of a big data system approach that’s scalable and easy to understand.
The biggest win for this book is its feature of realistic examples to help guide readers through big data’s complicated theories. These examples also serve as a practical guide for implementing the big data systems and deploying them after building them.
What Makes it Unique:
- The text is intended to serve as an introduction to big data. Therefore, it is well written with tons of relatable examples to help beginners.
- Big Data: Principles and best practices of scalable realtime data systems cover several extensive data analysis areas and warehousing.
- It doesn’t require any prior-knowledge of large-scale data analysis, although a bit of familiarity with traditional databases might be helpful.
Why Choose this Data Warehousing Book:
- Big Data: Principles and best practices of scalable realtime data systems offer an organized structure, with the introduction part serving as a road map to launch you into the other parts of the book.
- The book’s content is clear, with just enough details to get you acquainted with the world of data warehousing.
- Although it doesn’t go into too many programming details, it still offers you enough information to understand the general picture.
- Marz, Nathan (Author)
- English (Publication Language)
- 328 Pages - 05/19/2015 (Publication Date) - Manning Publications (Publisher)
Last update: 2024-05-01
Data Mining and Data Warehousing: Principles and Practical Techniques by Parteek Bhatia
Data Mining and Data Warehousing: Principles and Practical Techniques offer a detailed explanation of the basic principles and techniques of handling data warehousing. The book uses practical and relatable examples to explain the complicated theoretical concepts of data mining and warehousing. It covers everything from data warehousing tools to data mining language.
Written in an easy-to-understand structure, this textbook offers an encompassing explanation of all the fundamental concepts of data mining and warehousing. Topics ranging from information theory, distance metrics, decision trees, and data marts are well discussed.
What Makes it Unique:
- Data Mining and Data Warehousing: Principles and Practical Techniques is written to help undergraduate students whose coursework requires knowledge in data mining and warehousing.
- The text uses exercises and practical examples to simplify a range of otherwise complicated concepts.
- It also touches on advanced topics like NoSQL, relational data models, and big data analytics.
Why Choose this Data Warehousing Book:
- Data Mining and Data Warehousing: Principles and Practical Techniques easily classifies as one of the best introductory books to data warehousing.
- Written by an expert data warehousing teacher with over twenty years of experience in the field.
- Many readers and teachers recommend the book for college students interested in learning data analytics and data warehousing.
- Bhatia, Parteek (Author)
- English (Publication Language)
- 512 Pages - 08/15/2019 (Publication Date) - Cambridge University Press (Publisher)
Last update: 2024-05-01
Value Pick for Best Data Warehousing Books
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema by Lawrence Corr and Jim Stagnitto
Agile Data Warehouse Design is a step by step guide that covers the intricacies of data warehousing. The book captures the requirements of data warehousing and turns then into high-performance dimensional models. A large part of the book focuses on describing BEAM as an applicable tool for improving communication levels between Business intelligence stakeholders, data warehouse designers, and the whole development team.
What Makes it Unique:
- Instead of modeling by abstraction, this book uses examples to teach modeling. It uses data story themes to ensure detailed descriptions.
- Agile Data Warehouse Design uses proven dimensional design patterns to solve complicated data warehousing and usability problems.
- Adopts a quicker, more inclusive, and fun approach to teaching data modeling.
Why Choose this Data Warehousing Book:
- Agile Data Warehouse Design is a detailed guide that teaches the step-by-step approach to tackle warehousing requirements and building dimensional models from them.
- Instead of offering very technical content like many other materials, the author walks readers one step at a time through data warehousing.
- Lawrence Corr (Author)
- English (Publication Language)
- 328 Pages - 11/24/2011 (Publication Date) - DecisionOne Press (Publisher)
Last update: 2024-05-01
How to Choose the Best Data Warehousing Books for You
Contrary to popular beliefs, choosing the best data warehousing books don’t have to be stressful, even though it might seem so if you don’t know the right process. However, a knowledge of the right way to search would make the process fun and insightful. Before going to the market, you need to be sure about what’s right for you. This is why we’ve highlighted a list of recommended data warehousing books to help you make the right choice.
Several other options are also available in the market, and you may want to try a few of them to satisfy your desire for some adventure. That’s totally understandable. To help put you on the right track of picking the best data warehousing training books, here are some questions that you need to answer sincerely.
Are You Looking for a Basic Understanding of Data Warehousing?
The first thing to think about when in the market for books that will help you learn data warehouse training is your expertise level. If you are just starting as a data warehousing expert or have a passing interest on the subject, then you’ll want to buy a book that efficiently treats the basics. Most of the data warehousing book recommendations on our list would help you find your footing. You can also check out online reviews for recommendations of books that would suit your level.
What Data Warehousing Books Do We Recommend for Professionals?
As you advance in knowledge, your attention changes from data warehousing essentials to more advanced topics. At this point, you’ll want a book that focuses on advanced topics. Thankfully, there are tons of such books in the market. You just need to search a little more carefully. Ensure, however, not to go beyond your level because that might end up overwhelming you.
Wrapping Things Up: The Best Data Warehousing Books
Wrapping everything up, here are the best data warehousing books we went over today:
Last update: 2024-05-01
There you have it, a comprehensive list of the best data warehousing books. All the books reviewed in this article are great for classroom and real-life applications. Some of them have been adopted as reference texts, study resources, and much more.
However, before making a choice, you’ll need to know which texts can help you. Choosing what’s right for you begins with being sincere with yourself on what you want to achieve. The questions highlighted in the latter part of this article will help point you in the right direction of finding what you need.
Not ready to go through the details of different books to find what’s right for you? Then you can go straight to picking our favorite choice, The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition comprehensively covers the important topics in data modeling including new and enhanced star schema dimensional modeling patterns, ETL techniques, and more. Our runner up, Big Data: Principles and Best Practices of Scalable Realtime Data Systems, is also an excellent option for beginners. It features simplicity, attention to detail, and encompassing coverage.
Looking for more IT-related textbooks? Check them out below:
> The Best Microsoft Azure Books
> The Best Database Design Books
