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 […]

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