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Data Transformation

Data transformation is the process of taking raw data and making meaning out of it; it forms the foundation of all analytics work and represents how data practitioners create tangible value from their companies.

ETL: Data is extracted from different sources, transformed to meet analysis needs, and then loaded into a data warehouse. This can be time-consuming and less adaptable to changes.

ELT: Data is extracted and directly loaded into the data warehouse in its raw form. Transformation occurs afterward, leveraging the power of the modern cloud-based data warehouse’s processing capabilities. This approach is more agile and scalable, accommodating the growing volume and variety of data.

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