Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

The rapid proliferation of Internet‐of‐Things (IoT) devices, environmental sensors and other data‐emitting instruments has led to an unprecedented volume of real‐time information. Stream and sensor ...

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In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. For companies to keep up with the pace of the increasing demand for digital ...

When it comes to running a successful business, gaining competitive advantage is everything. That said, pinpointing exactly what might give firms that ‘edge’ isn’t an exact science. It might be a new ...

Today, the way companies are leveraging data has changed. The world has moved from static stores held in databases to adding dynamic and event-driven data in flight. The driver of this dynamic is ...

A funny thing happened while the tech world was focused almost exclusively on ChatGPT over the past eight months: Adoption of other cutting-edge technologies kept growing. One of those is real-time ...

Apache Beam, a unified programming model for both batch and streaming data, has graduated from the Apache Incubator to become a top-level Apache project. Aside from becoming another full-fledged ...

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 ...

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 ...