Cleaning and Normalizing Data Using AWS Glue DataBrew

Automate data cleaning with AWS DataBrew without writing any code

A major part of any data pipeline is the cleaning of data. Depending on the project, cleaning data could mean a lot of things. But in most cases, it means normalizing data and bringing data into a format that is accepted within the project. For example, it could be extracting date and time components from a timestamp column into multiple columns, converting the case …

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