Efficient OLAP Queries on In-memory Databases with Frequent Updates
In this project, we will collaborate with Actenum our industry partner tackle the challenges of online analytics processing (OLAP) queries on in-memory databases that are updated frequently. Specifically, we will address the technical research issues about how to conduct effective and efficient OLAP on frequently updated data stored in a large in-memory database, and retain the query answering time within a millisecond scale. We will explore effective query syntax, informative query result presentation, and efficient query answering algorithms. The research outcome will benefit our industry partner immediately.
View Full Project DescriptionJian Pei
Actenum Corporation
Computer science
Professional, scientific and technical services
Simon Fraser University
Accelerate