Data and Information Management

Overview

The Data and Information Management program at Radford University emphasizes hands-on learning working in teams with students, faculty, IT professionals, and even business executives. Our students apply emerging technology to solve challenging problems for our corporate partners. DAIM prepares graduates for leadership roles as data engineers, data architects, information managers, senior database administrators, and other data management positions. 

Learning outcomes

As the volume of information continues to explode, so does the need for IT professionals who can maximize the value of information assets while getting the right data to the right people at the right time.

DAIM teaches students to collect, process, manage, and protect traditional data and big data.

Big data, characterized by volume, velocity, and variety refers to data that cannot be processed and managed with traditional methods.

• Volume: scale of data – too much data to store and process. A single jet engine generates more data in one day than Twitter.
• Velocity: speed of generating and processing data – machines generate data faster than people. As the Internet of Things expands, data speeds will continue to accelerate. 
• Variety: diversity of data – including text, sensor data, photographs, and videos. Sentitment analysis mines tweets and other social media to measure how people feel – often used to determine what products and services customers like and dislike.  
• Collect: filter real-time data streams selecting the most valuable data to process and store.
• Process: integrate multiple data sources; clean, transform, and analyze data; and take action.
• Manage: reliable, distributed storage of structured and unstructured data
• Protect: processes and policies to ensure the integrity, privacy, and security of information assets.