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DataOps Highlights the Need for Automated ETL Testing (Part 2)

Dataversity

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. Click to learn more about author Wayne Yaddow. The […].

DataOps 98
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DataOps Highlights the Need for Automated ETL Testing (Part 1)

Dataversity

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. Click to learn more about author Wayne Yaddow. The […].

DataOps 52
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Turnkey Cloud DataOps: Solution from Alation and Accenture

Alation

DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. As pressures to modernize mount, the promise of DataOps has attracted attention.

DataOps 52
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Understanding Zero-Code Development Life Cycle in Matillion

phData

With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. In Matillion ETL, the Git integration enables an organization to connect to any Git offering (e.g.,

ETL 52