dbt

Analytics engineering is the data transformation work that happens between loading data into your warehouse and analyzing it. DBT allows anyone comfortable with SQL to own that workflow.

Tech tags:

• Analytics engineering
• Data warehouse

Related shared contents:

• Our journey to Snowflake monitoring mastery
  project
  2024-11-12
• Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt
  product
  2024-12-12

  Build a process to built the complete data lineage information by merging the partial lineage generated by dbt automatically.
• Loading data into Redshift with DBT
  project
  2024-11-06

  Why we load the S3 data into the Redshift again? it already queryable via Redshift Spectrum? I guess it's for the performance? Transform the S3 raw data, build the data models and write back into S3?
• The Analytics Development Lifecycle (ADLC)
  vision
  2024-09-18

  Fully adapt the SDLC practises for analytic world ...
• The Unbundling of Airflow
  vision
  2022-02-15

  This article is for talk about the idea behind fal dbt, extend the dbt capability on airflow platform. It also talk about a lot of other popular tools on Airflow.

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