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 ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. While getting to grips with open banking regulation, ...

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The Apache Kafka phenomenon reached a new high today when Confluent announced a $50 million investment from the venture capital firm Sequoia. The investment signals renewed confidence that Kafka is ...

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 ...

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 ...

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 ...

Analytics is often described as one of the biggest challenges associated with big data, but even before that step can happen, data has to be ingested and made available to enterprise users. That’s ...

The journey of a thousand miles begins with one step. Similarly, creating a central nervous system for the enterprise begins with a single project. As companies today are re-architecting to become ...