Real-time data processing is the handling of data as it arrives, so it is available for use almost as immediately as it is created and collected. This term is most often used in the context of a ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources ...

Monitoring and alerting enable the early identification of potential problems, allowing for proactive measures to be taken before they impact the data processing pipeline. By providing real-time ...

Airflow has traditionally excelled at scheduled batch processing, but enterprises increasingly need real-time data processing capabilities. Airflow 3.0 now supports that need. “A key change in ...

Real-time data processing is hot. Pioneers like Netflix have been doing it for years and reaping the benefits. Big on Data has been onto this for years, too. Now the rest of the world seems to be ...

With the new offering, businesses can now access a fully managed version of the real-time data stream processing platform on Amazon Web Services, Google Cloud and Microsoft Azure. Aiven provides ...

"By taking an AI-first approach, combined with real-time processing on our SaaS architecture, we're enabling data teams to adapt to changes quickly and get the master data that they need faster ...

Apache Kafka, another key framework for real time data processing, was also developed at LinkedIn. Kafka became the standard transport mechanism for tracking data at LinkedIn, and with loads of ...