In the industry of streaming services, the ability to process and analyze massive volumes of viewership data has become a key differentiator for companies aiming to optimize user experience and ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Backfilling refers to processing and populating historical data into a system or data pipeline that typically operates on real-time data to ensure that datasets are complete.

The pipeline would require removing some of those trees, so if the feds declare the bat as endangered or threatened, the project might be delayed or forced to choose a different route that avoids ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

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 ...

Estuary offers a "data operations platform" that combines the benefits of batch and stream processing data pipelines.