00:00 – Introduction
00:18 – ETL process
01:04 – Why ETL performance?
02:21 – Excerpt
05:18 – Transform
06:47 – Loading

ETL stands for Extract, Transform, Load. It is a crucial process in data warehousing and data integration that involves three main steps:
• Extraction: Data is extracted from different source systems. These resources can include relational databases, flat files, web services, and other data stores. The purpose of the extraction phase is to collect data from all relevant sources into a collection area for further processing.
• Transform: Once the data is extracted, it is transformed to convert it into a suitable format for analysis and reporting.
• Load: The final step is to load 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 organization's requirements. The data is then ready for querying, analysis and reporting.

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Theory of calculation
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Operating system:
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Structured Query Language (SQL):
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Discrete mathematics:
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Compiler design:
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Number system:
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Cloud computing and BIG data:
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Software engineering:
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Data structure:
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Graph theory:
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Programming in C:
https://www.youtube.com/playlist?listPLxCzCOWd7aiGmiGl_DOuRMJYG8tOVuapB
Digital logic:
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