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DBT GitHub Integration | DBT Github configuration
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DBT (Data Build Tool) - DBT GitHub Integration | DBT Github configuration

4.0 (4)
29 learners

What you'll learn

Set up and configure DBT Cloud to connect to Snowflake and execute your first project
Create and manage DBT models, seeds, materialized views, and macros for data transformation
Troubleshoot and execute DBT models using advanced commands like retry, tags, and dependency management
Prepare for DBT interviews by mastering key concepts such as permanent tables, secure views, and use of codegen packages

This course includes

  • 61.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Snowflake Account: https://youtu.be/nGY0mkjr9JY?si=DZ6hnYSkVN0H-nOF DBT Cloud: https://youtu.be/nHsWKHkc8No?si=J6HW7kVVw6Cmztdy Github Account: https://youtu.be/OG5IWcDZ7Nw?si=WKZ9plAP3AK4sYLY Data Build Tool Used for Data Transformation Not a ETL Tool ELT = T Raw Data = DBT =Transformed Data Advantages of DBT: Easy Testing Reusable Code (Macros & JINJA ) CI CD Integration Data Lineage Documentation Prerequisites: Snowflake Account DBT cloud Account Snowflake Database Snowflake Schema #dbtcloud#databuildtool #dbtsnowflake #learningdbt #dbtdemovideos #dbtwithsnowflake#snowflakeanddbt #dbtinterviewquestions #snowflakewithdbt#snowflakedbtcloud #databuildtoolforsnowflake #setupsnowflakewithdbt #etl #elt #dbtlink #dbtmodels#dbtseeds #dbtwithairflow #airflow #airflowdbt #dbtmacros#dbtanalysis #datalineagewithdbt #dags #dbtdags #dbtincrementals #dbtscds#dbtmaterilizations #dbtcloud #dbtcore #dbtcloud #dbtwithsnowflake #snowflakewithdbt #dbtincrementals #dbtcloud #dbtcloudintegrationwithgithub #dbtcloudintegrationwithversioncontrol #configuregithubfordbtcloud #dbtcloudgithubconfiguration

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