AWS Certified Data Analytics - Specialty(DAS-C01)

• Lectures (PDF)
•  Lab Manual (PDF)
• Recorded Video

Domain 1: Collection 18%

Domain 2: Storage and Data Management 22%

Domain 3: Processing 24%

Domain 4: Analysis and Visualization 18%

Domain 5: Security 18%

• Determine the operational characteristics of the collection system
• Select a collection system that handles the frequency, volume, and the source of data
• Select a collection system that addresses the key properties of data, such as order, format, and compression
• Determine the operational characteristics of the storage solution for analytics
  • long-term storage vs. transient storage
  • structured vs. semi-structured data
• Implement data formatting and partitioning schemes for data-optimized analysis
• Explain mechanisms for searching and retrieving data catalogs and metadata
• Determine appropriate data processing solution requirements ( cost, scalability, and availability)
• Apply appropriate ETL/ELT techniques for batch and real-time workload
• Implement automated techniques for repeatable workflows
• Select the right type of analysis based on the customer use case (streaming, interactive, collaborative, operational)
• Select the appropriate data visualization solution for a given scenario
• Implement appropriate authorization methods (e.g., policies, ACL, table/column level permissions)
• Implement appropriate access control mechanisms (e.g., security groups, role-based control)
• Understand and configure access and audit logging across data analytics services

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