According to Databricks, Expectations “help prevent bad data from flowing into tables, track data quality over time, and provide tools to troubleshoot bad data with granular pipeline observability so ...

StreamSets updates ETL to the cloud data pipeline Cofounded by veterans of Informatica, StreamSets is providing a third-party alternative in a landscape populated by cloud provider dataflow services.

In industries relying on up-to-the-minute insights, interruptions disrupt crucial processes, hindering timely responses to market changes and the accuracy of analytical outcomes. This can lead to ...

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

It reports back to the ETL tool for optimization, such as monitoring increasing data volumes and processing times, engaging in a circular flow and usage of critical data. “[Active metadata is] about ...