What is Data Engineering Pipeline | Data Engineering Pipeline Vs ETL | Intellipaat

This video on “Data Engineering Pipeline vs ETL” you will get to understand many topics related to Data Engineering Pipeline and ETL. In this video, you will know what Data Engineering Pipeline is, and what happens inside a Data Pipeline. You will then learn about ETL, why it is needed and what are the differences between Data Engineering Pipeline and ETL. Let’s get started without any further ado!

🔵 What is Data Engineering Pipeline?
A data engineering pipeline is the architecture and design of algorithms and models that replicate, cleanse, or modify data as needed. It can also send data straight to a destination such as a data lake or data warehouse.

🔵 What is ETL?
ETL is the process of merging data from numerous sources into a big, centralised repository known as a data warehouse. ETL cleans and organises raw data in order to prepare it for storage, data analytics, and machine learning (ML). Data analytics can help you meet unique business intelligence requirements (such as predicting the outcome of business decisions, generating reports and dashboards, reducing operational inefficiency, and more).

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