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

And a new category of data pipeline has emerged to satisfy it: reverse ETL. Reverse ETL is straightforward ... The complex, valuable modeling and analysis your data teams produce lives in your ...

In this article, I will explore five features to consider when implementing or optimizing an extract transform load (ETL) pipeline to elevate the resilience of data analytics systems and ...

Sreepal Reddy Bolla's framework represents a breakthrough in AI-driven data engineering, seamlessly optimizing ETL processes ...

The annual Data Summit conference returned to Boston, May 8-9, 2024, with pre-conference workshops on May 7. Bagnall offered a central thesis, explaining that “the ETL pipeline is the vehicle that ...

One of Mantri's major accomplishments was reducing a 19-hour daily modeling pipeline to just ... shaping modern approaches to data architecture. In the context of ETL vs. ELT, Mantri emphasizes ...

The automated data pipeline and ETL solution is used by organizations ... Users can request that Fivetran add a new connector or pre-built model, but there is no guarantee that Fivetran will ...