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.
- Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals (2009)
- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition (2013)
- Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals (2018)
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
- Microsoft Excel 2019 Data Analysis and Business Modeling (6th Edition) (Business Skills) (2019)
- Data Modeling Essentials, Third Edition (2004)
- Microsoft Excel Data Analysis and Business Modeling (5th Edition) (2016)
- Data Modeling: A Beginner’s Guide (2010)
- NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software (2016)
- Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema (2011)
Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals (2009)
Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives: #295,124 in Books (See Top 100 in Books) #2975 in Computer Science (Books) #61 in Computer Programming Structured Design #195 in Data Modeling & Design (Books) Would you like to ?If you are a seller for this product, would you like to ?
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition (2013)
The 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.
Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals (2018)
Key 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.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (2017)
Data 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?
Master 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.
Data 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”.
Master 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.
Essential 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.
How do we design for data when traditional design techniques cannot extend to new database technologies?
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema (2011)
is 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.
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.