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 ...

Commercial ETL tools couldn't support the information flows Humana needed for analytic modeling, so the company built its own.

Unlike legacy ETL tools that reshape and summarize data, Incorta Connect uses its patented Direct Data Mapping® technology to deliver source-identical data in its most granular form.

The company helped pioneer the Reverse ETL — which stands for extract, transform and load — methodology that allows businesses to move data from centralized storage back into tools such as ...

The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

Dremio has announced new generative AI tools for its data lakehouse, including a new text-to-SQL editor for conversational querying of data.

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

What are the main differences between ETL and ELT? Use our guide to compare ETL and ELT, including their processes, benefits and drawbacks.

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.