Four BigData Trends
Jason Monberg (MarkLogic) distills what he heard at the last BigData conferences into four trends:
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Real-time
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 […]
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Agility with Complex Information
[…] solutions are expected to be able to add or drop data sources as needed and ask ad hoc questions
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Predictive Analytics
While the BigData umbrella is much broader, some of the best use cases come from the analysis perspective.
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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)
