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Then, within that order,
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This is the third post of dbt in Action series. Here's a quick look at what we’ve covered and what’s coming next:
Post 1: Get started with dbt: project setup and build your first transformations using staging, intermediate, and marts layers.
Post 2: A deep dive into dbt seeds, tests, and macros to enhance data validation and flexibility, with a hands-on example.
Post 3 (You're here!): Explore dbt analyses, understanding materialisations, and mastering incremental models for handling historical and high-volume data with a hands-on example.
Post 4: Using dbt snapshots to track slowly changing dimensions, with a hands-on example.
Post 5: Understanding the dbt Semantic Layer and introducing MetricFlow, with a hands-on example.
please check here for the full series :
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