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DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. The post DataOps Highlights the Need for Automated ETL Testing (Part 2) appeared first on DATAVERSITY. Click to learn more about author Wayne Yaddow. The […].
The post DataOps: What It Is and What the Enterprise Gets Wrong appeared first on DATAVERSITY. With this rapid growth, the ability to harness data for business impact is even more vital. To keep up with the exponential data growth and resulting challenges, data teams must adjust the way they operate. […].
What exactly is DataOps ? This is nothing new, as 74% of respondents indicated that new compliance and regulatory requirements have accelerated the adoption of DataOps (IDC). This is nothing new, as 74% of respondents indicated that new compliance and regulatory requirements have accelerated the adoption of DataOps (IDC).
DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. The post DataOps Highlights the Need for Automated ETL Testing (Part 1) appeared first on DATAVERSITY. Click to learn more about author Wayne Yaddow. The […].
Author’s note: this article about data observability and its role in building trusted data has been adapted from an article originally published in Enterprise Management 360. Data observability is a key element of data operations (DataOps). Is your data ready to use?
Click to learn more about author Clayton Weir. Over the last few years, retail banking has done a tremendous job of making the user experience sleeker and more frictionless. Yet, for all of the great strides that have been made in revolutionizing the retail banking experience – both on the front- and back-end – the […].
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. The admin configures the project to connect to a dedicated marketing database on Snowflake.
In today’s competitive enterprise landscape, having a proper DataOps strategy in place correlates with better data intelligence and optimization within an organization – breaking down silos and enabling data democratization and better business agility at scale.
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