Wednesday, June 11, 2014 2:30 PM EDT
| Speaker: | Michael Mior |
| Abstract: | Selecting appropriate indices and materialized views is critical for high performance in relational databases. By example, we show that the problem of schema optimization is also highly relevant for NoSQL databases. We explore the problem of schema design in NoSQL databases with a goal of optimizing query performance while minimizing storage overhead. Our suggested approach uses the cost of executing a given workload for a given schema to guide the mapping from the application data model to a physical schema. We propose a cost-driven approach for optimization and discuss its usefulness as part of an automated schema design tool. |
Location
DC - William G. Davis Computer Research Centre
Room 1331
200 University Avenue West
Waterloo, ON N2L 3G1
Canada
200 University Avenue West
Waterloo, ON N2L 3G1
Canada
