AWSDD-FMDSAWAmazon Web ServicesAW-AWSDD-FMDS1.0<p>During this event, you will learn:</p> <ul> <li>How AWS services help you modernize, unify, and innovate your data infrastructure</li><li>How to use AWS services to provide secure and well-governed access to data</li><li>How to innovate with AI/ML by harnessing your data with built-in ML</li></ul><p>This event is intended for:</p> <ul> <li>Data architects, data scientists, and data analysts new to the AWS Cloud</li><li>Solutions architects</li><li>Database administrators</li></ul><h5>Section 1: Introduction </h5><ul> <li>Business value of a modern data strategy</li><li>Challenges</li><li>Use cases</li><li>Traditional vs. cloud</li><li>Modern data strategy on AWS</li></ul><h5>Section 2: Modernize</h5><ul> <li>Relational databases</li><li>Purpose-built databases</li></ul><h5>Section 3: Unify</h5><ul> <li>Data lakes with Amazon S3</li><li>Lake house approach on AWS</li><li>Purpose-built data services</li><li>Breaking down data silos</li><li>Unified governance</li></ul><h5>Section 4: Innovate</h5><ul> <li>Machine learning (ML) services</li><li>Artificial intelligence (AI) services</li><li>Data stores, data lakes, and BI tools with built-in ML</li></ul><h5>Section 5: Next steps</h5><ul> <li>Resources to continue learning</li></ul>During this event, you will learn: - How AWS services help you modernize, unify, and innovate your data infrastructure - How to use AWS services to provide secure and well-governed access to data - How to innovate with AI/ML by harnessing your data with built-in MLThis event is intended for: - Data architects, data scientists, and data analysts new to the AWS Cloud - Solutions architects - Database administratorsSection 1: Introduction - Business value of a modern data strategy - Challenges - Use cases - Traditional vs. cloud - Modern data strategy on AWS Section 2: Modernize - Relational databases - Purpose-built databases Section 3: Unify - Data lakes with Amazon S3 - Lake house approach on AWS - Purpose-built data services - Breaking down data silos - Unified governance Section 4: Innovate - Machine learning (ML) services - Artificial intelligence (AI) services - Data stores, data lakes, and BI tools with built-in ML Section 5: Next steps - Resources to continue learning2 heures