Managing sensitive data across sprawling data environments is hard. In this post, we show you how to tackle data discovery, classification, and governance across your databases, data warehouses, and object storage to regain visibility and control over your data landscape. As you build new features, products, and services, your data naturally spreads across multiple systems to meet immediate application and business needs. Different teams spin up their own data stores, and before long, you’re dealing with a complex web of repositories—often with limited visibility into what exists where. This data sprawl becomes most challenging when you must understand and protect your sensitive data. Security teams often struggle to maintain accurate inventories of data categorization and classification. Stakeholders demand comprehensive insights into data classification and processing activities, usually on tight deadlines, and keeping up-to-date data inventories becomes increasingly daunting as your data grows. Without automation, you’re left with manual processes that stretch over weeks, leave room for human error, and create unnecessary business risk.
This is a companion discussion topic for the original entry at https://aws.amazon.com/blogs/big-data/automate-data-discovery-and-centralized-management-with-aws-glue-data-catalog/