Real-Time Analytics

Everything in the world of data is moving more quickly every day. We track packages, view stats for sporting events, monitor engine health, and watch airplanes move across the globe all in real time. Users are increasingly asking for data to be as close to real time as possible because, in today’s competitive landscape, minutes and seconds often matter. The challenge for data professionals is collecting this data and making sense of it all. Fabric’s Real-Time Analytics experience is the answer.

Streaming datasets are often fast and large and require parsing. Logs, device data, and telemetry arrive in the form of semi-structured payloads that need to be parsed and indexed before they can be analyzed. Real-Time Analytics provides automatic data ingestion, indexing, and partitioning, all while keeping the data in the open Delta format, which can be read by all the Fabric compute engines.

When you switch to the Real-Time Analytics experience, you...