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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.

1. Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals (2009)

Best Data Modeling Books Everyone Should ReadData 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 ?…
Author(s): Steve Hoberman , Carol Lehn, et al.

2. 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. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more. Design dimensional databases that are easy to understand and provide fast query response with The Data…
Author(s): Ralph Kimball

3. 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. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of…
Author(s): James Lee , Tao Wei , et al.

4. 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? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data….
Author(s): Martin Kleppmann

5. 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. Practice with more than 800 problems, many based on actual challenges faced by working analysts.  Solve real business problems with Excel—and build your competitive advantage:…
Author(s): Wayne Winston

6. 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”. In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its…
Author(s): Graeme Simsion, Graham Witt

7. 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.   #38,633 in Books (See Top 100 in Books) #20 in Microsoft Excel Guides #21 in Spreadsheet Books #20…
Author(s): Wayne Winston

8. 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. The methods presented in this fast-paced tutorial are applicable to any database management…
Author(s): Andy Oppel

9. 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? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel…
Author(s): Ted Hills

10. 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. The book describes BEAM, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and…
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 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.

Data-Driven Modeling for Sustainable Engineering: Proceedings of the First International Conference on Engineering, Applied Sciences and System Modeling (ICEASSM), Accra, 2017

Author(s): Kondo H. Adjallah, Babiga Birregah, Henry Fonbeyin Abanda
Publisher: Springer International Publishing, Year: 2020, Size: 15 Mb, Download: pdf
ID: 2407479

Semantic Modeling and Enrichment of Mobile and WiFi Network Data

Author(s): Abdulbaki Uzun
Publisher: Springer International Publishing, Year: 2019, Size: 7 Mb, Download: pdf
ID: 2251744

Excel Data Analysis: Modeling and Simulation

Author(s): Hector Guerrero
Publisher: Springer, Year: 2019, Size: 18 Mb, Download: pdf
ID: 2300135

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Author(s): Hamid Reza Pourghasemi, Mauro Rossi
Publisher: Springer International Publishing, Year: 2019, Size: 18 Mb, Download: pdf
ID: 2310491

Charting the Next Pandemic: Modeling Infectious Disease Spreading in the Data Science Age

Author(s): Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani
Publisher: Springer International Publishing, Year: 2019, Size: 138 Mb, Download: pdf
ID: 2311018

Environmental Modeling Using Satellite Imaging and Dataset Re-processing

Author(s): Moses Eterigho Emetere
Publisher: Springer International Publishing, Year: 2019, Size: 22 Mb, Download: pdf
ID: 2355016

Microsoft Excel 2019 Data Analysis and Business Modeling

Author(s): Wayne Winston
Publisher: Microsoft Press, Year: 2019, Size: 78 Mb, Download: epub
ID: 2382357

The Statistical Analysis Of Multivariate Failure Time Data: A Marginal Modeling Approach

Author(s): Ross L. Prentice, Shanshan Zhao
Publisher: Chapman & Hall/CRC, Year: 2019, Size: 10 Mb, Download: pdf
ID: 2392071

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling

Author(s): Y. Z. Ma
Publisher: Springer International Publishing, Year: 2019, Size: 23 Mb, Download: pdf
ID: 2408197

The statistical analysis of multivariate time data: a marginal modeling approach

Author(s): Prentice, Ross L.; Zhao, Shanshan
Publisher: CRC Press, Year: 2019, Size: 9 Mb, Download: pdf
ID: 2418606

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.

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