In computing, extract, transform, load (ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source(s) or in a different context than the source(s). The ETL process became a popular concept in the 1970s and is often used in data warehousing.
ETL is most likely to appear on Ingeniero de datos job descriptions where we found it mentioned 29,3 percent of the time.
The 4 Hats of a Full-Stack Data Scientist
Towards Data Science - Medium
Write-Audit-Publish for Data Lakes in Pure Python (no JVM)
Towards Data Science - Medium
Text Embeddings, Classification, and Semantic Search
Towards Data Science - Medium
Data Science Career Challenges-and How to Overcome Them
Towards Data Science - Medium
When Do You Self Join? A Handy Trick
Towards Data Science - Medium