Data Quality, Governance & Lineage
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10 lessons3 levels1 capstone project
Create trustworthy data products through quality checks, ownership, metadata, privacy, lineage, contracts, stewardship and governance integrated into the engineering lifecycle.
BASIC
- Data Governance Explained — IBM Technology (Short)
Explains why ownership, policy and trust matter for data systems. - Data Governance and Lineage for Data Platforms (Medium)
Connects governance and lineage to modern platform architecture. - What is Data Lineage and Why is it Important? (Medium)
Introduces end-to-end lineage and downstream impact analysis.
INTERMEDIATE
- Key Building Block for Governance — Data Lineage
A deeper treatment of the same skill; use it to move from concept to working patterns. - Architecture & Key Concepts — Snowflake
Apply Data Quality, Governance & Lineage through the adjacent capability: Data Platform. - Data Platform for the AI Frontier — Microsoft Fabric
Apply Data Quality, Governance & Lineage through the adjacent capability: Data Platform.
ADVANCED
- Airflow, Databricks, Kubernetes — Build a Data Platform from Scratch
Extend Data Quality, Governance & Lineage into senior/production practice through Data Pipelines, Orchestration & Streaming. - Create a Lakehouse, Ingest Data and Build a Report
Extend Data Quality, Governance & Lineage into senior/production practice through Data Modeling, Warehousing & Lakehouse. - End-to-End Databricks Data Engineering Project
Extend Data Quality, Governance & Lineage into senior/production practice through Data Engineering.