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What is ELT (Extract, Load, Transform)? A Beginner’s Guide [SQ]

Databand.ai

The data pipeline should be designed to handle the volume, variety, and velocity of the data. This includes choosing the right data storage and processing technologies, designing the data schema, and planning the data transformations. This can be achieved through data cleansing and data validation.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

This process involves learning to understand the data and determining what needs to be done before the data becomes useful in a specific context. Discovery is a big task that may be performed with the help of data visualization tools that help consumers browse their data. It also discusses several kinds of data.