Amazon SageMaker demo: Data discovery | Amazon Web Services

Discover how Amazon SageMaker Unified Studio enables data teams to easily find and access datasets across their organization using semantic search and business metadata. In this demo, follow along as a risk analyst searches for fraud-related data assets, reviews business metadata including summaries and README documentation, and examines column definitions and technical details. Learn how to evaluate data trustworthiness by checking data quality scores, reviewing data lineage to understand transformations, and filtering search results by data type to narrow down your findings. See how to subscribe to datasets once you've confirmed they contain the information you need for your analysis. SageMaker Unified Studio makes it simple to discover, evaluate, and access the right data assets for your work, all with full governance and transparency. Learn more about Amazon SageMaker: https://go.aws/4h7wV2i Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.aws/library Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb Why AWS? Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance. #AWS #AmazonWebServices #CloudComputing