shashanks2008
commented
7 years ago - Create "To Do list"
- Start building Cassandra API from Basic
- Note down all the situations while working with Cassandra. e.g. If something is not compatible and why? Some concepts are not possible to implement and why?
- Abstract the query in API and think what data structure can be used to store the machine state in the DB. e.g. K-Means result -> save to Cassandra
- Categorise Machine learning Algorithm so that an additional argument can be passed through the query to store.
- Think high level picture of the project and try to create a tutorial
- System does not require strong consistency but the machine learning state should be highly available
- Use case to Visualise the system for API. (check RESTAPI for reference)