Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off your first 3 months — limited time.
Unlock All Certificates
Explore how the open-sourced Legend platform addresses data governance challenges in the financial industry through this 36-minute conference talk. Gain insights into data quality concerns, industry standards, and key Legend features that tackle pressing issues. Learn about data governance concepts, navigation, supertypes, sensitive labels, data formats, and accessibility. Discover the importance of data catalogs, external versioning, model mapping, and SDLCP in holistically solving data governance for financial organizations.
Syllabus
Intro
Data Governance
Navigation
Supertype
Sensitive Labels
Data Formats
Data Accessibility
Summary
Apologies
Data Catalog
External Version
Model Mapping
SDLCP
Taught by
Linux Foundation