Data Engineering Fundamentals for AI Product Managers
Master the essential data engineering concepts, from pipeline mechanics to data governance, crucial for building and managing successful AI products.
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Foundations of Data Engineering for AI
Unit 1: The Data Engineering Landscape
What is Data Engineering?
Data Engineers vs. Others
OLTP vs. OLAP
Unit 2: Data Sources and Formats for AI
Where Does AI Data Live?
Data Shapes and Sizes
Common Data Formats
Unit 3: Data Governance and Ethics
Data Rules and Regulations
Secure and Ethical AI Data
Building and Managing Data Pipelines for AI
Unit 1: Data Pipeline Fundamentals
What's a Data Pipeline?
ETL vs. ELT: The Basics
When to Use ETL or ELT
Unit 2: Anatomy of a Data Pipeline
Data Ingestion: The Start
Transforming Data for AI
Loading Data: The Destination
Unit 3: Ensuring Pipeline Health
Data Quality & Governance
Monitoring Your Pipelines