In this article, we'll dive into the various settings you can configure in this file,…
Category: dbt
DBT : How to get a new connection based on your dbt_project.yml and profiles.yml [Postgres or Redshift]
The below statement is referring to the process of establishing a database connection in a support script or Jupyter notebook…
DBT : Handling Late-Arriving Data in DBT
Data warehousing and business intelligence often involve working with data that arrives after a certain time period has already been…
DBT : How do you manage dependencies between models in DBT ?
DBT manages dependencies between models through a directed acyclic graph (DAG). The DAG determines the order in which models should…
DBT : How does DBT handle data lineage and auditing ?
DBT handles data lineage and auditing by tracking the history of transformations and changes to your data, allowing you to…
DBT : How do you handle errors and troubleshoot issues in DBT
Handling errors and troubleshooting issues in DBT can be done in the following ways: Check the logs: The “dbt “CLI…
DBT : how to set up and configure DBT Standalone
DBT (Data Build Tool) Standalone is a tool for managing SQL transformations. To set it up and configure, follow these…
DBT : What is DBT quoting ?
DBT (Data Build Tool) quoting refers to the process of wrapping a string or identifier in quotes in SQL statements….
DBT : How does DBT handle performance optimization and data scalability
DBT does not handle performance optimization and data scalability directly. However, it can be used in conjunction with other tools…
DBT : DBT’s way of handling versioning of data models.
DBT uses a versioning system called “Incremental Modeling” which allows to version data models by maintaining the history of changes…
DBT : DBTs way of handling testing and validation of data models ?
DBT uses a testing framework called “Snapshot Testing” which allows to take snapshots of the data in the database tables…