Python comes with a built-in module called json; pip is not required to instal it.…
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Python : Dynamically access or modify object attributes [ getattr and setattr ]
getattr and setattr are built-in Python functions that allow you to dynamically get and set attributes of an object, respectively….
Snowflake : Sharing Data with External Organizations using Snowflake Data Share
Snowflake Data Share is a powerful feature that allows you to securely share your data with external organizations without the…
Snowflake : Understanding Snowflake’s Time Travel and Fail-safe Features with Examples
Snowflake is a cloud-based data warehousing platform that offers a variety of advanced features, making it a popular choice among…
DBT : Harnessing DBT Snapshots to Track Historical Data Changes
One of its key features of DBT is the ability to capture historical changes in data over time using snapshots….
DBT Tests: Ensuring Data Quality in Your DBT Project . Write and run custom data tests.
One crucial aspect of data transformation is ensuring that your output data meets certain quality standards. DBT tests are an…
DBT Sources: Streamlining Raw Data Management in Your DBT Project
DBT sources are a powerful feature that helps in managing raw data in your DBT project. They provide a way…
DBT : Managing dependencies between DBT models. Explain the use of the ref() function?
Managing dependencies between DBT models is essential for ensuring the correct order of execution and maintaining data consistency. The ref()…
DBT : Explain the concept of incremental models in DBT. How do they help optimize data transformation pipelines?
Incremental models in DBT are a type of materialization designed to optimize data transformation pipelines, especially for large datasets where…
DBT : Difference between DBT materializations, and how do you choose the right one for a specific use case
Materializations in DBT are a way to define how the output of a model should be stored in the destination…
DBT : Handling incremental updates and historical data in DBT
Incremental updates allow DBT to process only new or updated records since the last run, reducing the time and resources…