Explain end to end data flow

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Accepted Answer

End to end data flow refers to the complete journey of data from its source to its destination, including all processes and systems involved.

Data is collected from various sources such as databases, applications, sensors, etc.
It is then processed and transformed through various stages like extraction, transformation, and loading (ETL).
The data is stored in a data warehouse or data lake for analysis and reporting.
Finally, the insights derived from the data are used for decision-making and business improvements.
Example: In an e-commerce platform, end to end data flow includes capturing customer interactions, processing orders, storing transaction data, and analyzing sales trends.

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