Amazon DataZone Getting Started

In this course you will learn about the purpose and key capabilities of Amazon DataZone, including how it can help organizations better govern, share, and derive value from their data assets. The course will guide you through identifying the problems Amazon DataZone can solve, such as improving data visibility and enhancing cross-functional collaboration. Additionally, the course covers technical concepts, typical use cases for Amazon DataZone, and step-by-step processes for effectively using Amazon DataZone to enhance your organization's data management strategy.

• Explaining Amazon DataZone architecture and key components (e.g., domains for business context, projects for collaboration, assets for data sources, glossaries for standardized terminology, and subscriptions for governed access).
• Identifying integration points with AWS data services (e.g., publishing assets from S3 buckets, Glue Data Catalog, Redshift tables, or Athena queries) to build a unified data catalog.
• Applying basic governance concepts using DataZone features like metadata enrichment, business metadata tagging, access requests/approvals, and policy-based controls to maintain data quality and compliance.
• Articulating use cases and benefits (e.g., enabling self-service discovery for analysts, enforcing data ownership/stewardship, and supporting cross-team collaboration while protecting sensitive data).

• Understand how Amazon DataZone centralizes data discovery and governance, empowering business users, data stewards, and analysts to find, understand, and use data securely without heavy IT involvement.
• Recognize the value of Amazon DataZone in enhancing data productivity, reducing duplication, ensuring compliance (e.g., via metadata and policies), and accelerating analytics initiatives across organizations.
• Feel prepared to explore hands-on setup (e.g., creating domains, projects, assets) or advance to deeper DataZone courses, supporting informed evaluation or initial adoption of the service for data governance needs.

• Concise digital course content with explanations, diagrams, service overviews, and getting-started guidance for Amazon DataZone (conceptual focus with high-level walkthroughs; no deep hands-on labs in this intro module).
• Foundational-level training in the Data Analytics domain, suitable for data stewards, analysts, business users, IT leaders, or anyone new to data governance on AWS (no prerequisites; complements advanced DataZone courses or analytics paths).
• Coverage of Amazon DataZone fundamentals aligned with AWS best practices for governed data lakes/warehouses (includes references to related services like Athena, Glue, and Lake Formation).
• Certificate of completion issued.