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 ...

ETL enables putting data to work and maximizing its value. Generally, the ETL process has worked well, and it has been improved over time.

At this point, iPaaS (Integration Platform as a Service) is quietly becoming the core of many enterprises' integration ...

Data lake ETL platforms are available in a full range of options – from open-source to managed solutions to custom-built. Whichever tool you select, it’s important to differentiate data lake ETL ...

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

Companies needed to combine the data from all of these applications into one repository (the data warehouse) through a process of Extraction, Transformation, and Loading. That’s the origin of ETL.

MarkLogic's new version of its database is designed to help companies deal with growing volumes of unstructured data.

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

At the annual Data Summit conference, the session 'Data Fabric Key Enablers,' led by John Bagnall, senior product manager, Matillion, illustrated how ETL plays an integral role in data fabric ...