Stream processing is a data management technique that involves ingesting a continuous data stream to quickly analyze, filter, transform or enhance the data in real time. Once processed, the data is ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Streaming analytics tools drive real-time decision-making from data. This significantly affects a company's business processes, customer experiences -- even revenues. Streaming analytics platforms ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

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In one of its most significant product updates since going public, Confluent Inc. today introduced a new cloud-based toolkit to help enterprises analyze real-time data from their systems more ...

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, ...

As organizations accelerate digital transformation, data is no longer viewed as a byproduct—it’s the backbone of strategic decision-making. With growing volumes of structured and unstructured data, ...

As a Customer Success Manager (CSM) with years under my belt, I know firsthand what it’s like to feel buried in customer data. It’s like standing in front of a firehose, trying to catch every drop ...

Odds are your business employs some method of operational analytics or uses another closely related method of data processing with a different name. Whether it’s called hybrid transaction and ...