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Data Warehouse Migration Best Practices

Monte Carlo

But in reality, a data warehouse migration to cloud solutions like Snowflake and Redshift requires a tremendous amount of preparation to be successful—from schema changes and data validation to a carefully executed QA process. Who has access to your new data warehouse? Is your data accurate? Is it fresh?

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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.