The Top 16 Best Data Management Books to Read in 2023

A compilation of the best data management books on technique and methodology written by some of the most prominent experts in the field.

There are loads of free resources available online (such as Solutions Review’s buyer’s guides and best practices), and those are great, but sometimes it’s best to do things the old-fashioned way. There are few resources that can match the in-depth, comprehensive detail of a good book.

With this in mind, our editors have done the research for you, having reviewed many of these books. We’ve carefully selected the top data management books based on relevance, popularity, review ratings, publish date, and ability to add business value.

Below you will find a library of books from recognized leaders, experts, and technology professionals in the field. From data governance to master data management, these publications have something to offer even the most tenured data and analytics professional.

The Best Data Management Books

DAMA-DMBOK: Data Management Body of Knowledge (2nd Edition)

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“The second edition of DAMA International’s Guide to the Data Management Body of Knowledge (DAMA-DMBOK2) updates and augments the highly successful DMBOK1. An accessible, authoritative reference book written by leading thinkers in the field and extensively reviewed by DAMA members, DMBOK2 brings together materials that comprehensively describe the challenges of data management. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage data.”

Data Management: Databases and Organizations

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Data Management 6th Edition provides broad coverage of the design and maintenance of computer-based organizational memory. Starting with a managerial perspective, it then takes a deep dive into data modeling and SQL, and then covers advanced data management and the management of organizational data stores. The sixth edition includes four new chapters on R, data visualization, text mining, and HDFS. The latest version is dated 7-26-17.”

Data Management for Researchers: Organize, maintain and share your data for research success (Research Skills)

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management.”

Master Data Management and Data Governance, 2/E

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume.”

The DAMA Guide to the Data Management Body of Knowledge

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Written by over 120 data management practitioners, the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. This print edition is also available in electronic PDF format on a CD (see ISBN 9780977140084).”

Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program (The Morgan Kaufmann Series on Business Intelligence)

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“This book is for any manager or team leader that has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program.”

Data Management Using Stata: A Practical Handbook

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples.”

Non-Invasive Data Governance

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance focuses on formalizing existing accountability.”

Data Stewardship: An Actionable Guide to Effective Data Management and Data Governance

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.”

Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations.”

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“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. Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance and e-commerce.”

Data Mining, Fourth Edition: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.”

Enterprise Master Data Management: An SOA Approach to Managing Core Information

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decision-makers. Written by the IBM data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA.”

Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration.”

Master Data Management MDM: An Integration Blueprint

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“For more than twenty years, The Art of Service’s Self-Assessments empower people who can do just that – whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc… – they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisers, consultants, specialists, professionals and anyone interested in MDM assessment.”

The Data Management Toolkit: A Step-by-Step Implementation Guide for the Pioneers of Data Management

OUR TAKE: This Udemy Power BI training has more than 46,000 ratings and 4.6 stars. By the end, you will be able to analyze data from different data sources and create their own datasets.

“This book is for professionals who are now in the same position I found myself in eight years ago and for those who want to become a data management pro of a medium sized company. It is a collection of hands-on knowledge, experience and observations on how to implement data management in an effective, feasible and “to-the-point” way.” Irina Steenbeek is also the author of  The “Orange” Model of Data Management and The Data Management Cookbook: A Pocket Guide for Implementation of Data Management.”

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