Enterprise Data Management

Learn how to build the business intelligence systems that are critical to data analysis

Course 1 of 3: MicroMasters® in Information Systems 12 Weeks 8–10 hours per week recommended

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Scheduled Start:

About This Course:

High-quality information is the key to successful management of businesses. Despite the large quantity of data that is collected by organizations, managers struggle to obtain information that helps them make decisions. While operational processing systems help capture, store, and manipulate data to support day-to-day operations of organizations, reconciled systems — sometimes referred to as data warehouses or business intelligence (BI) systems — support the analysis of data, thus, enabling decision making.

With the advent of big data systems, organizations have turned to enterprise data management frameworks to manage and gain insights from the vast amount of data collected. While storage costs themselves are relatively affordable, the bigger challenge has been finding an appropriate mechanism to manage the data as many technologies (e.g., relational databases, data warehouses) have limitations on the amount of data that can be stored.

This course focuses on realizing the business advantage and business potential of operational, reconciled, and big data systems as well as data assets in supporting enterprise data management strategies and enterprise data analytics.


What You’ll Learn:

  • How to design relational databases that are used to manage operational systems
  • How to query relational databases using Structured Query Language (SQL)
  • How to design data warehouses and business intelligence systems
  • Understand the principles of data profiling, data integration, and master data management
  • Understand the basics of Hadoop, Hive and Pig


  • None


Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Meet Your Instructors:

Ramesh Venkataraman - Pearson Advance

Ramesh Venkataraman

Associate Dean and Professor of Information Systems, Kelley School of Business at Indiana University
Ramesh Venkataraman is Chairman of Kelley Direct Programs, the home of online graduate business education at Indiana University’s Kelley School of Business. He also serves as Kelley’s Associate Dean of Information and Instructional Technologies, a school-wide strategic role.
Jingjing Zhang - Pearson Advance

Jingjing Zhang

Assistant Professor of Information Systems, Kelley School of Business at Indiana University
Jingjing Zhang is an assistant professor of Information Systems at the Kelley School of Business, Indiana University. She received her Ph.D. in Business Administration from the Carlson School of Management, University of Minnesota in 2012. Dr. Zhang's research interests include personalization techniques, recommender systems, data mining, and human-computer interactions.
Vijay Khatri - Pearson Advance

Vijay Khatri

Professor of Operations and Decisions Technologies, Kelley School of Business at Indiana University
Vijay Khatri is a Professor in and the Chairperson of the Operations and Decision Technologies Department at the Kelley School of Business. He is the Arthur M. Weimer Faculty Fellow and the Co-Director of the Kelley Institute for Business Analytics.


12 Weeks

Experience Level


Learning Partner

Indiana University



Program Type



Business & Management Computer Science
Advanced Business Harvard X-Series