Jason Monberg (MarkLogic) distills what he heard at the last BigData conferences into four trends:
Many of the data sets discussed are real-time streams of information such as sensor data from parking meters, twitter updates, and IT system logs. Interacting with this information in real-time is critical […]
Agility with Complex Information
[…] solutions are expected to be able to add or drop data sources as needed and ask ad hoc questions
While the BigData umbrella is much broader, some of the best use cases come from the analysis perspective.
The last trend that I picked up on, and which I think is early and controversial, is the notion of using a single database for both operational data and analysis. The argument goes something like this:
- Data and information sets are getting large enough that it is too expensive to move them or replicate them.
- Memory and disk prices have come down enough that it is feasible to maintain a single data store that performs well in both contexts.
- Technology has advanced enough that one can work with and store any type of information in a single store.
Original title and link: Four BigData Trends (NoSQL databases © myNoSQL)