Build better ETL pipelines

This is a DataAnalyistPro Publication

Whether you’re creating complex dashboards or fine-tuning large language models, first, your data needs to be in the right location and the right format. These ETL (extract-transform-load) and ELT (extract-load-transform) pipelines form the foundation of any data product, and Apache Airflow® is the open source standard to orchestrate them.

This eBook covers:

An overview of decisions to make when designing ETL and ELT pipelines, from methods to pass data between tasks to types of data quality checks
Key DAG writing best practices including an overview of testing and scaling options in Airflow
Guidance on how to use Airflow features that can elevate your ETL and ELT pipelines, including dynamic task mapping, data-aware scheduling, and custom task groups

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