SESSION Details

Roche's Maxim of Data Transformation

Roche's Maxim of Data Transformation states that should be transformed as far upstream as possible, and as far downstream as necessary. We've all heard this maxim, but what does it actually MEAN?

In this example-packed session Microsoft program manager Matthew Roche explores his maxim, with real-world stories and best practices - all with the goal of helping YOU build a better and more maintainable data estate the first time... or at least the next time.

Feedback link: https://sqlb.it/?7015

Starts: 13:40 11th Mar 2022
Ends: 14:00 11th Mar 2022

Q&As

Short Description
- As far upstream as possible. As far downstream as necessary. In 20 minutes.

Slidedeck Link

2022-03-11 - SQLBits - Roche's Maxim of Data Transformation.pptx

Speakers

Matthew Roche

Tags

AWSAzureGCPOn PremisesPlatform AgnosticData IntegratorIntelligence and AnalyticsManaging Big DataNoCode Data EngineerNon TechnicalOperational DatabasesSecure and GovernVisualising and Actioning DataDeploymentDevelopingManagingMonitoringModellingOptimisingData LakeData Transformation and IntegrationDatabase EngineModern AnalyticsPower BIIntermediateWhy

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