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How Columbia uses Databricks

70%

“achieving a 70% reduction in ETL pipeline creation time”

As published on databricks.com. Captured by usedby on Oct 2, 2026.

What happened

Columbia's enterprise information management team moved to Azure Databricks and Delta Lake to build ETL pipelines that support both batch and real-time workloads. The curated data feeds analysts, data scientists and business units across the company for reporting, model training and forecasting.

Summary written by usedby from the source page, in English. The figures are those of Databricks and Columbia, not ours.

  • 48x“reducing the amount of time to process ETL workloads from 4 hours to only 5 minutes, 48x improvement”

Databricks has helped Columbia’s EIM team accelerate ETL and data preparation, achieving a 70% reduction in ETL pipeline creation time while reducing the amount of time to process ETL workloads from 4 hours to only 5 minutes, 48x improvement.

From the page. databricks.com, captured Oct 2, 2026

One of the benefits of this platform is how fast people can come up to speed on it. All that data is coming in, and more business units are using it across the enterprise in a self-service manner that was not possible before,

Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear, Columbia. Source, captured Oct 2, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 3, 2026.

  • The figure: 70%CheckedPrinted word for word on the page, near the name of Columbia.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Columbia.
  • Columbia uses DatabricksCheckedConfirmed line. Latest check across sources: Oct 2, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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