As more and more organizations have come to rely on streaming data to provide real-time insights, a number of applications have sprung up to handle the myriad technical challenges that streaming data ...

Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

SANTA CLARA, Calif., April 14, 2020 — Pepperdata announced the availability of Streaming Spotlight, a new product in Pepperdata’s data analytics performance suite. The suite is purpose-built for IT ...

Time and again, commercial Hadoop distributor MapR Technologies has demonstrated the value of the MapR-FS file system that underpins its Hadoop stack and differentiates it, more than any other feature ...

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As the Internet of Things (IoT) heats up as a topic, and as big data continues along on its path to maturity, streaming data technology, which fits perfectly in the intersection of the two, is having ...

Confluent, Inc.'s user markets for data streaming have a long runway ahead. Open source Apache Kafka is ubiquitously used for data streaming. Confluent's wheelhouse is scalable data streaming and ...

The open source Kafka real-time stream data service was incubated at LinkedIn over five years ago. Since then, Kafka has become an Apache open-source project and the original developers left LinkedIn ...

Wouldn't it be great if working with streaming data were just as simple as working with data at rest? And imagine if the two could be modeled, processed and coded against similarly; that would let ...