It shouldn't be surprising that at first glance, Data Collector looks like a visual ETL tool, but the difference ... for monitoring and resolving data flow bottlenecks. StreamSets has recently ...

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load ...

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

In this article, I will explore five features to consider when implementing or optimizing an extract transform load (ETL) pipeline ... and reliable flow of real-time data processing.

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 ...