What is ETL PROCESS | Data Warehouse and Data mining| Complete ETL process explained| lec 1.8

In this video, we explore the ETL Process (Extract, Transform, Load), the foundation of data warehousing. Learn how data is collected from various sources, transformed into a usable format, and loaded into a data warehouse for analysis. Perfect for anyone looking to understand how ETL powers business intelligence and data management!

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Below is an overview of what you can expect in this series:

Module 1: Data Warehousing Fundamentals

Data Warehouse Architecture
Data Warehouse vs. Data Marts
E-R Modeling vs. Dimensional Modeling
Information Package Diagram
Data Warehouse Schemas: Star Schema, Snowflake Schema, Factless Fact Table, Fact Constellation Schema
Updates to Dimension Tables
Major Steps in the ETL Process
OLTP vs. OLAP
OLAP Operations: Slice, Dice, Rollup, Drilldown, Pivot

0:00 - What is the ETL PROCESS?
0:57 - Why ETL is Important
1:47 - Major Steps in ETL process
2:00 - Extraction
3:30 - Transformation
5:56 - Loading
7:31 - Conclusion

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