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 ...

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 ...

Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration, and ...

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 ...

Hadoop and big data platforms were originally known for scale, not speed. But the arrival of high performance compute engines like Spark and streaming engines have cleared the way for bringing batch ...

The Apache Kafka distributed data streaming engine has finally hit version 1.0, a milestone that indicates the platform is finally ready for mainstream business. “Apache Kafka is playing a bigger role ...

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 ...

When Confluent launched a cloud service in 2017, it was trying to reduce some of the complexity related to running a Kafka streaming data application. Today, it introduced a free tier to that cloud ...