This badge earner can describe the approaches to converting raw data into analytics-ready data. They understand how ELT and ETL processing differ and can identify use cases for both. The earner can explain the methods and tools used for extracting the data, merging extracted data either logically or physically, and for importing data into data repositories. They are able to define transformations that apply to source data to make the data credible, contextual, and accessible to data users.

• Type Learning
• Level Foundational
• Time Days
• Cost Paid