Aggregate
Group and pivot your data
Group and pivot your data
Change the data type of multiple columns at once
Rename multiple columns in your dataset in a systematic way
Standardize data formats
Remove duplicates from your data
Dynamically filter columns of your dataset based on a set of conditions
Filter the data
Flatten nested columns
Build functions with SQL macros to be used in gem expressions
Power your pipelines with gems
Join two or more datasets
Limit the number of columns processed
Use dbt macros in your pipelines
Sort the data
Introduction to pipeline development for analysts
Add variables to your pipelines
Use pipelines in SQL projects
Use Prophecy and SQL to run pipelines
Use expressions to reformat column names and values
Call APIs from your pipeline.
Use a custom SQL statement
Create moving aggregations and transformation