Member-only story
The E of ETL: Extract
Easiest and most beginner-friendly introduction to Extract in ETL
Written by Rashmi Metri
Today, DATA is everywhere! From the simplest spreadsheets containing the monthly budget calculations to the enormous amounts of large-sized videos — everything is DATA!
Data has an origin, is categorized into numerous types, can be added, modified, deleted, can reside in manifold places, and most importantly has meaning. It accentuates the purpose of organizations by providing critical and relevant information. Stakeholders, business users, data scientists, etc. make the most of data to carry out data-driven decisions, experimentation, and prediction.
This data that resides in varied systems and forms needs to be accumulated in one place to be transformed, and this can be achieved by extracting the data from all the disparate sources.
To make sense of the data, Data engineering is essential, ETL process is essential. The purpose of this blog is to explore the E of the ETL process.
