Companies today have to juggle data from a plethora of software-as-a-service and cloud-hosted offerings.

Given the current sprawl, a big pain point for organizations is data movement from those various sources into a lakehouse architecture. Fivetran Inc.’s value proposition is alleviating that difficulty.

“Fivetran is a data movement platform,” said Taylor Brown (pictured), co-founder and chief operating officer of Fivetran. “The value that you get out of a cloud data platform is the data component, really that middle word there. We help get data into your cloud data platform from all the various different places that you have it, across all of your different business systems, your product systems [and] your customer systems.”

Brown spoke with theCUBE industry analyst Rob Strechay at the Databricks Data + AI Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the mechanisms behind data movement to and from data platforms.

ETL, but with a twist on the ‘T’

“Extract, transform and load” is the process where data from multiple sources is cleaned, organized and combined into a central data warehouse.

Since Delta Lake allows the “transform” part of the process to take place within the platform, Fivetran’s direct integration into Databricks Inc.’s Unity Catalog enables precise in-platform data transformation in addition to automatic governance controls, Brown added.

“Now, with the scale that’s available in the cloud with Delta Lake, you can essentially move everything over,” he explained. “You take all of the source data and you move it into the warehouse and you do EL and then you do the transformation there within the actual lake itself. The nice thing is we integrate directly into the Unity catalog, so you can know down to the column, what data is being moved and what’s the lineage of that.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Databricks Data + AI Summit:

Photo: SiliconANGLE