Performance evaluation of various storage formats for Clinical Data Repositories

摘要

The performance of three different Entity-Attribute-Value (EAV) storage formats for Clinical Data Repositories (CDRs) is compared with regards to querying millions of data points from clinical sources to assess the amount of storage space the data use, the speed with which the data can be obtained, and the complexity of the queries required to retrieve the data. Performance results are presented that show that the hybrid EAV approach provides a nice balance of the simple and multi-data type formats.