Next Level presentation of end to end Data Engineering Pipeline
Data Sources - Multiple sources of data.
Structured, Unstructured, Semi structured.
Data Loaders - All this data is then ingested to the Data Lake.
Once the Data is in Data Lake, we keep doing multiple transformations and the data quality keeps getting better at each stage.
The cleaned up / processed data is then given to various visualization tools to get insights from it.
This is a perfect ELT pipeline (Extract Load Transform). Here we load everything first in the Data Lake and then later we transform the data to seek for insights.
Credit : Semantix
