Data today is too distributed and too large to move it to where the processing is performed. Now, businesses must find ways to move the processing close to the data—and the closer, the better.

The offering runs on the distributed systems organizations have already deployed (or plan to) and schedules data processing jobs against the data right where it’s generated, be it on the cloud ...

The startup said today it has closed on the $20 million Series A funding round led by Astasia Myers from Felicis, with ...

When the COVID-19 pandemic accelerated in early 2020, people all over the globe were affected. In this disruption, organizations also scrambled for ways to monitor employee health, maintain compliance ...

We show how each of these common multi-agent patterns are transformed into event-driven distributed systems, gaining the operational advantages of data streaming applications and removing the need ...

Data Replication: HDFS, Hadoop’s distributed file system, automatically replicates data blocks across multiple nodes. This redundancy ensures that even if one or more nodes fail, the data ...

Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

VSaaS systems are distributed and unified by nature. Video and metadata are streamed directly from cameras or via bridge appliances to the cloud, where all the data is processed and stored.