📚 Book Lovin' Geek Mamas are on a mission to promote a love of books and reading to everyone. We help our visitors to find their next favorite book. Our authors regularly create and post so-called listicles (also known as booklists) on various mostly tech-related topics.

Best Data Modeling Books Everyone Should Read

There are countless Data Modeling courses, tutorials, articles available online, but for some, having a book is still a necessity to learn. This is an up-to-date list of recommended books.

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition (2013)

 Best Data Modeling Books Everyone Should ReadThe first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling,and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever.
Author(s): Ralph Kimball

Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals (2018)

 Best Data Modeling Books Everyone Should ReadKey Features Book Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements.
Author(s): James Lee , Tao Wei , et al.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)

 Best Data Modeling Books Everyone Should ReadData is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application?
Author(s): Martin Kleppmann

Microsoft Excel 2019 Data Analysis and Business Modeling (6th Edition) (Business Skills) (2019)

 Best Data Modeling Books Everyone Should ReadMaster business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types.
Author(s): Wayne Winston

Data Modeling Essentials, Third Edition (2004)

 Best Data Modeling Books Everyone Should ReadData Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with “the rules”.
Author(s): Graeme Simsion, Graham Witt

Microsoft Excel Data Analysis and Business Modeling (5th Edition) (2016)

 Best Data Modeling Books Everyone Should ReadMaster business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed.
Author(s): Wayne Winston

Data Modeling: A Beginner’s Guide (2010)

 Best Data Modeling Books Everyone Should ReadEssential Skills–Made Easy!Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner’s Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You’ll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design.
Author(s): Andy Oppel

NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software (2016)

 Best Data Modeling Books Everyone Should ReadHow do we design for data when traditional design techniques cannot extend to new database technologies?
Author(s): Ted Hills

Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema (2011)

 Best Data Modeling Books Everyone Should Readis a step-by-step guide for capturing data warehousing / business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders.
Author(s): Lawrence Corr, Jim Stagnitto

Best Data Modeling Books Everyone Should Read

We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some data modeling books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.

Recent Econometric Techniques for Macroeconomic and Financial Data

Author(s): Gilles Dufrénot, Takashi Matsuki
ID: 2821905, Publisher: Springer, Year: 2021, Size: 10 Mb, Format: pdf

Introduction to Computation and Programming Using Python: With Application to Computational Modeling and Understanding Data

Author(s): John V. Guttag
ID: 2914889, Publisher: MIT Press, Year: 2021, Size: 15 Mb, Format: epub

Analyzing Data Through Probabilistic Modeling in Statistics

Author(s): Dariusz Jacek Jakóbczak (Redactor)
ID: 2955696, Publisher: Engineering Science Reference, Year: 2021, Size: 33 Mb, Format: epub

Please note that this booklist is not errorless. Some books are truly best-sellers according to The Wall Street Journal, others are drafted by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant resources you could recommend? Leave a comment if you have any feedback on the list.

Rate article
Add a comment

;-) :| :x :twisted: :smile: :shock: :sad: :roll: :razz: :oops: :o :mrgreen: :lol: :idea: :grin: :evil: :cry: :cool: :arrow: :???: :?: :!: