Introduction

In the final step of the ETL pipeline, the transformed and processed data is stored in a repository for future analysis, processing, reporting, and decision-making. Several choices need to be made before the loading process begins, some of which are straightforward and determined by the business requirements, while others require careful consideration.

One of the straightforward decisions is selecting the type of repository to use. Different repositories have their own specific purposes, including relational or non-relational production databases, data warehouses, and data lakes.

The choice of repository depends on how the data will be used. For example, if the data is intended for large analytical queries, it should be loaded into a ...