Analyzing and Querying Big Embedded Data

Developers of embedded applications such as medical devices, industrial automation, automotive software, etc. often need to deal with serious data management issues in which a large amount of data needs to be analyzed with typical queries by end users of the applications that they are building. These embedded ecosystems are composed of devices that divide up Big Data problems.

Some data is isolated to each device, while other data is shared with select peers. ITTIA DB SQL's unique replication and synchronization features offer to efficiently distribute data to other devices, and even with enterprise RDBMS products, according to the application's business logic and policies. Any number of peers can participate in replication, allowing an ecosystem to scale up as more devices are added.

for more information regarding ITTIA please contact Glenn Moloney at Indes-IDS.

02-05-2013