Overview
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This discussion examines modern data management practices for cloud based data development, including data change detection, data contracts, observability, and CI/CD tests. It also considers the roles of data producers and consumers and ways to improve data handling and decision making.
Syllabus
[] Chad's preferred coffee
[] Takeaways
[] Changes after a year
[] Implementing data pipelines
[] Wrong data pipelines Implement
[] Promote book visibility strategies
[] Data Detective Dashboard
[25:07 - ] AWS Trainium and Inferentia ad
[] Data lineage tracking solution
[] Putting conditions
[] Magic solution for productivity
[] Surprising features
[] Upstream all the way
[] Data integrity challenges
[] Other surprising features
[] Interfering with DevOps & Data
[] Data security and value
[] AI Quality In-Person Conference
Taught by
MLOps.community