From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Improve data with AWS Glue Data Quality

Improve data with AWS Glue Data Quality

From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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Improve data with AWS Glue Data Quality

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Data lakes solve storage problems, but without oversight, they turn into data swamps. Incomplete records, inconsistent formats, stale information. Bad data costs money, wrong decisions, wasted time, and failed projects. Traditional quality checks take days. Write rules manually, code monitoring, build alerts, repeat for every dataset. AWS Glue Data Quality changes this. It analyzes your data automatically, recommends rules, monitors continuously, and alerts when problems appear. Days become hours. This video shows how to set it up and integrate quality checks into your pipelines. So let's get started. AWS Glue Data Quality is a managed service that measures and monitors data quality. It's built on Deque, an open-source framework Amazon uses for petabyte-scale datasets. There are two ways to use it, depending on your workflow. First, the Data Catalog Entry Point, for datasets already cataloged. Data stewards and analysts can set up rules without coding, perfect for ongoing governance…

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