Workshop: Intro to Data Build Tool

We are happy to present a full day workshop for Data Build Tool conducted by Microsoft MVP John Miner.

Description

Why are some many people using dbt? Even Microsoft is adding dbt jobs to Fabric.
Many people learn from the Jaffle Shop sample dbt project. However, the complexity of the project is quite simple. What I really wanted is a project that goes over the following dbt concepts:
• Seed raw data tables
• Transform raw data using views
• Support multiple databases with macros
• Capture slowly changing dimensions type 2
• Incremental loading of large data with append or merge
• Use ephemeral tables as a place holder
• Use dbt utils package to make a date dimension
• Create a dimensional model for reporting
• Save pre-canned queries in analyses directory
• Test data quality using property/schema files
• Output custom data quality exceptions to a table
• Create documentation based on model design
In the end, I created my own sample dbt project using the Chinook database schema as the foundation. I must thank Luis Rocha for the OLTP database design and sample data.
This open source dbt project was built using an Fabric SQL Database as the target. However, it can be built on any supported database using the correct dbt adapter and ODBC driver.
Advanced topics such as Python models for complex data processing that can not be handled in ANSI SQL will be covered.
At the end of this pre-conference session, a data engineer will be ready to model data for any given database or warehouse.

Know what’s Happening Next — before everyone else does.

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Host or Publisher Houston Area SQL Server User Group