Medicaid Benefits Data Collection. This data collection reflects Medicaid benefits covered in each state, limitations applied to those benefits, cost-sharing charges, and the reimbursement methodologies used for those benefits as of October 1, 2012.
Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data.
MongoDB - Sharding. Sharding is the process of storing data records across multiple machines and it is MongoDB's approach to meeting the demands of data growth. As the size of the data increases, a single machine may not be sufficient to store the data nor provide an acceptable read and write throughput. Sharding solves the problem with horizontal scaling. With sharding, you add more machines to support data growth and the demands of read and write operations. Why Sharding?