Application of In-Memory Technology to Support Data Visualization in Big Data Context: ERP Simulation Case
Department
Business and Information Technology
Major
Information Science and Technology
Research Advisor
Lea, Bih-Ru
Advisor's Department
Business and Information Technology
Funding Source
Opportunity for Undergraduate Research (OURE); Center for Enterprise Resource Planning (ERP); CIO Innovation Project; Accenture
Abstract
The goal of this research is to utilize the in-memory technology in implementing a data warehouse using the SAP ERP Simulation data. Operational data currently play an important role in running the simulation as part of making critical decisions or adjusting company’s strategy. Those data are getting bigger in size as the simulation progresses, so it is essential to have a more reliable data warehouse. The adoption of in-memory technology in data warehouse design and data modeling would not only solve the problem, but could provide numerous benefits. At the end of this research, major components in data warehouse are expected to be created including data mart schema (star schema), tables, and various views needed for data visualization. Furthermore, the data warehouse is expected to connect to and work seamlessly with other different visualization tools, such as SAP Predictive Analysis and SAP BusinessObjects Design Studio.
Biography
Thomas Cooper is a senior majoring in Information Science and Technology and minoring in Business, Enterprise Resource Planning, and Digital Supply Chain Management. Currently, Thomas works as a Research Assistant for the Center for Enterprise Resource Planning and as a Teaching Assistant for the Department of Business and Information Technology. He is also an active participant in Miner Challenge. After graduation in May, Thomas is joining Deloitte Consulting as a Business Technology Analyst.
Research Category
Arts and Humanities
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium/Hall
Presentation Date
15 Apr 2015, 1:00 pm - 3:00 pm
Application of In-Memory Technology to Support Data Visualization in Big Data Context: ERP Simulation Case
Upper Atrium/Hall
The goal of this research is to utilize the in-memory technology in implementing a data warehouse using the SAP ERP Simulation data. Operational data currently play an important role in running the simulation as part of making critical decisions or adjusting company’s strategy. Those data are getting bigger in size as the simulation progresses, so it is essential to have a more reliable data warehouse. The adoption of in-memory technology in data warehouse design and data modeling would not only solve the problem, but could provide numerous benefits. At the end of this research, major components in data warehouse are expected to be created including data mart schema (star schema), tables, and various views needed for data visualization. Furthermore, the data warehouse is expected to connect to and work seamlessly with other different visualization tools, such as SAP Predictive Analysis and SAP BusinessObjects Design Studio.
