In-Memory Data Modeling and Analytics


Times Offered Syllabus
Lec-Lab W 02:00pm-04:50pm

Times are for SPRING 2017
No Syllabus Found
Prerequisites Technologies Studied

(ONE of these courses must be completed prior to enrolling.)
Hana Essentials
Course Description
Recent breakthroughs in multi-core architectures and the availability of large amounts of main memory at low costs have made in-memory database management possible, thus enabling enterprises to collect and analyze vast amounts of data in real time, transforming the way we perform analytics. This course is designed to provide the student with a thorough understanding of the architecture, tools, capabilities, and use of in-memory database applications. Students will be presented with examples of how organizations analyze their business operations
Why Students Take ITP-489
Students will be able to:
• Explain the architecture of in-memory database management systems
• Administer and operate an in-memory database management system
• Model and prepare for data population
• Graphically represent the data using dashboards
• Make strategic business decisions based upon analytic results
Course is Part of...
Applied Analytics (MINOR)
Enterprise Information Systems Specialization using SAP (SPECIALIZATION)
Enterprise Information Systems (MINOR)
Register Contact Advisor


Richard Vawter