Tagged dbt

Organize dbt models, tests and incremental strategies for analytics engineering

Model activation rate and activated-user flags on warehouse views or a dbt project

Model retention, stickiness and lifecycle metrics on warehouse views or dbt

Set up shared foundations for warehouse views, materialized views or a dbt project

Design ETL pipelines, data models and quality checks with Airflow, dbt and Spark

Build ETL and ELT pipelines with Airflow, dbt, Spark and Kafka

Translate Snowflake dbt SQL models into BigQuery SQL with macros and types handled

Build ETL pipelines with Spark, Airflow and dbt, plus data quality checks

Manage Lightdash YAML, dbt metadata, CLI deploys, charts and dashboards

Split, continue, inspect and close Lightdash pull requests on non-dbt repositories

Write dbt model SQL with reused fields, CTEs and joins that stay semantically correct

Open semantic-layer pull requests for dbt descriptions, AI hints and content migration

Build data pipelines with Airflow, Dagster, Kafka, Flink and dbt with quality checks

Explain addiction recovery treatments like CBT, DBT, MI and MAT with coping tools

Design ETL and streaming data pipelines with dbt, Airflow, Spark and Kafka

Build data pipelines and warehouses with Spark, dbt, Airflow and streaming

Map dbt schema and source YAML into semantic layer models and column notes