ETL Explained Simply for Beginners | Extract, Transform & Load in Data Analytics

What exactly is ETL, and why is it important in Data Analytics? In this video, I break down ETL (Extract, Transform, Load) in the simplest way possible using an everyday example: preparing a meal. Here’s what we’ll cover: Extract – Collecting data from sources such as Excel, CSV files, SQL databases, APIs, CRM systems, and Google Sheets. Transform – Cleaning and preparing raw data by handling missing values, removing duplicates, standardizing formats, and making the data reliable for analysis. Load – Moving the transformed data into a destination such as a database or data warehouse where it can be used for reporting and analysis. If you’re new to Data Analytics, SQL, Power BI, or Data Engineering, this video will help you understand the basic idea behind ETL without all the complicated technical terms. Subscribe to Data Nest With Angie for simple and practical lessons on Excel, SQL, Power BI, Python, and Data Analytics. #ETL #DataAnalytics #DataAnalyst #PowerBI #SQL #DataEngineering #BusinessIntelligence #LearnDataAnalytics