ETL (Extract, Transform, Load) in Data-warehouse | Introduction to ETL with examples

00:00 - Intro
00:18 - ETL Process
01:04 - Why ETL perform?
02:21 - Extract
05:18 - Transform
06:47 - Load
ETL stands for Extract, Transform, Load. It is a crucial process in data warehousing and data integration that involves three main steps:
• Extract: Data is extracted from various source systems. These sources can include relational databases, flat files, web services, and other data repositories. The goal of the extraction phase is to gather data from all relevant sources into a staging area for further processing.
• Transform: Once extracted, the data undergoes transformation to convert it into a suitable format for analysis and reporting.
• Load: The final step is loading the transformed data into the target data warehouse or data mart. This process can be performed in batches (at scheduled intervals) or in real-time, depending on the requirements of the organization. The data is then ready for querying, analysis, and reporting.
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#etl#datawarehouse #datamining

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thank u so much for explaining entire ETL process in simplified manner with examples.

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