From the course: Complete Guide to Python for Data Engineering: From Beginner to Advanced
What is ETL in the data engineering world? - Python Tutorial
From the course: Complete Guide to Python for Data Engineering: From Beginner to Advanced
What is ETL in the data engineering world?
- [Instructor] Imagine, you are a chef preparing a feast. You start by gathering the fresh ingredients, then chop, dice and season to create a masterpiece. In the data world, ETLs follows a similar process, turning raw data into meaningful insights. Let's break it down for you. Extraction. Extraction is like going shopping for your ingredients. You get the data from various sources. It could be database spreadsheets, CSV, JSOD or any other type of files, or even a REST API. It's like collecting all the elements you need for your recipe. For example, consider a retail chain expansion project where the retail chain is trying to gather all the data from their variety of sources. It could be their databases, it could be their competitor's data. It could be some data available freely over the internet to analyze. So, probably the first step would be is to pull in all that data, that is extract the data. The step number two…
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