In this video we take a look at AWS Glue DataBrew and it's no code normalisation power. Using the baby names dataset we use Glue DataBrew to write a recipe using the projects feature before creating a job to run the data transformations on the dataset. This is outputted to S3 in CSV format where we can run queries on the data.
00:00 - Intro
00:30 - What Is AWS Glue DataBrew?
01:55 - Why Use AWS Glue DataBrew?
02:49 - When Do We Use AWS Glue DataBrew?
03:26 - What We Will Cover Today
04:18 - Hands On Tutorial
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What AWS Say
AWS Glue DataBrew is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, and correcting invalid values, and other tasks. After your data is ready, you can immediately use it for analytics and machine learning projects. You only pay for what you use - no upfront commitment.
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