Building a Data Pipeline with Polars and Laktory
When discussing data pipelines, distributed engines like Spark and big data platforms such as Databricks and Snowflake immediately come to mind. However, not every problem requires these super powers. Many businesses default to these large-scale solutions, but they can be overkill for the data sizes at hand. Additionally, those still learning the basics of data engineering and data modeling need access to simple and cost-effective setups to master their craft. That's why today we'll explore how to leverage Polars dataframes and the Laktory ETL framework to build an end-to-end data pipeline that can be executed on your local machine.
