Successes in these studies included women with: 1  two totally blocked fallopian tubes, 2  one tube removed and the other blocked (decreasing the chance for success), 3  hydrosalpinx (tube blocked and filled with fluid), and.  mid-tube and distal blockage (challenging areas to treat surgically).
Data Rationalization is a powerful means to unlock and leverage semantics hidden in models, and to be able to find, identify, and leverage the data we need. Tying a formal ontology (e.g. stored in OWL) to model objects can help bridge the semantic divide between unstructured and structured 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?