Analytics Engineering with dbt Masterclass
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Stage One — The Analytics Engineering Discipline
Where the Role Sits and Why It Exists
Preview
Project Anatomy and How the Tooling Works
Environments and Development Safety
3 lessons
Stage Two — Structure and the Staging Layer
Sources and Declaring Your Raw Data
Staging Models and Their Rules
Directory Layout and the Intermediate Layer
3 lessons
Stage Three — Modelling the Business
Dimensional Modelling for Marts
Slowly Changing Dimensions and History
Macros Reuse and Avoiding Cleverness
3 lessons
Stage Four — Testing and Documentation
Tests That Catch Real Problems
Documentation as Part of the Model
Code Review and Working as a Team
3 lessons
Stage Five — Incremental Models and Performance
When and How to Go Incremental
Query Performance and Warehouse Cost
Handling Change in Sources and Schema
3 lessons
Stage Six — Deployment Orchestration and Career
Continuous Integration for Analytics
Scheduling Monitoring and Failure Handling
2 lessons
Building the Portfolio and Moving Into the Role
Stage Two — Structure and the Staging Layer
Sources and Declaring Your Raw Data
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