MQP 2015-A Comparison of OLAP and Coherence Large Scale Aggregations

The goal of the project is to develop a generic mechanism for cache-based aggregation of data. This will allow the end user to have a summary view with multiple pivot points. To achieve this goal, the following steps will be taken: 1. Converting the database to files 2. Loading the files into caches 3. Aggregating the data in the caches Coherence and aggregators will be used to complete these tasks. To write the code for these processes, Java, C# and SQL are the programming languages that will be used.