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 ...

Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

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 ...

Following the path of Hadoop and Spark, Apache Kafka is becoming a rising star in the Big Data ecosystem, playing a leading role in two brand-new open source offerings from LinkedIn, where Kafka ...

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 ...

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 ...