Big Data Genomics – How to efficiently store and retrieve mutation data by David Suvee.
About the post:
This blog post is the first one in a series of articles that describe the use of NoSQL databases to efficiently store and retrieve mutation data. Part one introduces the notion of mutation data and describes the conceptual use of the Cassandra NoSQL datastore.
From the post:
The only way to learn a new technology is by putting it into practice. Just try to find a suitable use case in your immediate working environment and give it go. In my case, it was trying to efficiently store and retrieve mutation data through a variety of NoSQL data stores, including Cassandra, MongoDB and Neo4J.
Promises to be an interesting series of posts that focus on a common data set and problem!