Best Reference Books – Data Management

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We have compiled the list of Top 10 Best Reference Books on Data Management subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Data Management along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Data Management subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Data Management" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Data Management” by Richard Watson

“Data Management” Book Review: This book is useful for students and professionals who want to make their career in data analysis. This book discusses basic concepts of database design and management of databases. This book gives a detailed description of data modelling and SQL. Topics like R, data visualization, and text mining have been explained in depth in the book. Also, detailed information is provided on Hadoop distributed file system and MapReduce. This book contains discussions on data warehousing, data mining, OLAP and multidimensional databases. This book contains exercises that increase theoretical as well as practical knowledge. This book is helpful for carrying out research-based work in the area of data science.

2. “Principles of Data Management – Facilitating Information Sharing” by Keith Gordon

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“Principles of Data Management – Facilitating Information Sharing” Book Review: This book is useful for professionals in the areas ranging from business analysis to web development. This book explains the basics and applications of database management in a clear and concise manner. Data quality and Corporate data modelling have been discussed thoroughly. This book gives a description on implementation of data management functions from a successful business point of view. This book provides information on relation between data and database administrators, system development teams and business users. This book also contains the information on the technical issues faced by database management professionals. This book is aimed for professionals who are in the areas of database management, business analysis, and IT.

3. “The DAMA Guide to the Data Management Body of Knowledge” by DAMA International

“The DAMA Guide to the Data Management Body of Knowledge” Book Review: This book is for professionals making their career in the data framework and its management. This book starts with basic concepts, terminologies and definitions on data management functions. This book provides detailed description on data governance, data architecture management, and data development. Topics like database operations management, data security management and Reference & master data management have been covered deeply in the book. This book also gives information on data warehousing & business intelligence management, data quality management and professional development. The detailed explanation of topics like document & content management and metadata management makes this book very helpful for researchers working in the area of database management.

4. “Master Data Management and Data Governance” by Alex Berson

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“Master Data Management and Data Governance” Book Review: This book is useful for students and professionals in the area of data management and data governance. This book is divided into five major parts. The Part 1 contains the basic introduction on Master Data Management (MDM) and its applications by industry. The Part 2 contains the architecture, database management and modelling of MDM. The Part 3 contains data security, privacy and regulatory compliances for Master Data. The Part 4 contains implementation and governance of Master Data Management. The Part 5 contains markets, trends, and direction in relation to MDM. This book contains appendices which contain a list of acronyms and glossaries. Each chapter contains a list of references. This book is good for professionals in business areas.

5. “Data Management for Researchers: Organize, Maintain and Share your Data” by Kristin Briney

“Data Management for Researchers: Organize, Maintain and Share your Data” Book Review: This book is mainly for the researchers working in the area of data management. This book contains eleven chapters with references and indexes at the end of the book. This book begins with a basic introduction on database management and problems related to it. The book discusses the data lifecycle and the data roadmap. This book provides information on planning and creating database management plans, and data policies. This book gives documentation along research notes and lab notebooks. Information on file organization, storage and backup of data have been presented in detail in the book. Sharing of data, data reuse and management of sensitive data have been discussed in detail. Each chapter ends with the chapter summary, which helps in better understanding and revision.

6. “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking” by Foster Provost and Tom Fawcett

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“Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking” Book Review: This book is for beginners and intermediate professionals who want to learn data analytics. This book starts with a basic introduction on data analytic thinking. The book discusses the business problems and data science solutions to them. The book explains predictive modelling and its correlation and supervised segmentation. The book provides a description on mathematical functions for fitting a model for the data. Topics like visualization of model performance, evidence and probabilities have been discussed in detail. Each chapter ends with the chapter summary which clears understanding.

7. “Data Science for Dummies” by Lillian Pierson

“Data Science for Dummies” Book Review: This book is for students and professionals. This book is divided into six parts and twenty three chapters in total. The Part 1 gives a basic introduction of data science engineering and application of data driven insights to business and industry. The Part 2 provides description on machine learning, statistical modelling building of models that operates on Internet-of-things devices. The Part 3 gives the information on data visualization designs and its web based applications. The Part 4 gives information on using Python, R, SQL, Excel, and Knime for data science. The Part 5 gives a description of solving world problems using data science. The Part 6 contains information on Open Data resources, and data science tools and its applications. This book gives theoretical as well as practical knowledge on data science.

8. “Data Management Using Stata: A Practical Handbook” by Michael N Mitchell

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“Data Management Using Stata: A Practical Handbook” Book Review: This book is for beginners in the field of Stata. This book contains information on the relation between raw data and statistical analysis. This book contains detailed information on Stata Graphics, Data Management Using Stata, and Visualizing and Interpreting Regression Models using Stata. This book also provides information on Stata for the Behavioral Sciences. This book contains examples which help in understanding. This book serves its purpose for research works.

9. “Big Data: Principles and best practices of scalable realtime data systems” by Nathan Marz and James Warren

“Big Data: Principles and best practices of scalable realtime data systems” Book Review: This book is for professionals in data architecture. This book contains three parts. THe Part 1 contains the information on data models for big data along with architecture and implementation. The Part 2 discusses serving layers and illustrations related to it. The Part 3 contains real time views, Queuing and stream processing, and Micro-batch stream processing as well as their illustrations. The book gives an in-depth knowledge on lambda architecture. Introduction to big data systems. Information on tools like Hadoop, Cassandra, and Storm and Extensions to traditional database skills are given in this book. Each chapter has practice exercises.

10. “Clinical Analytics and Data Management for the DNP” by Martha L Sylvia PhD MBA RN and Mary F Terhaar DNSc RN

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“Clinical Analytics and Data Management for the DNP” Book Review: This book is for DNP students. This book gives information on the complete process of data management, including planning, and data collection. This book discusses data governance and cleansing, analysis, and data presentation. The book provides examples of techniques using SPSSAE software. This book provides practical information by presenting content on DNP innovations and projects. Each chapter contains objective questions, references and examples which is helpful for understanding purposes.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Data Management – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Data Management" so that one can readily see the list of top books on "Data Management" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Data Management subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter