AWS Certified Data Analytics Specialty - Exam Preparation Training in Singapore

• A minimum of 5 years of experience with common data analytics technologies
• At least 2 years of hands-on experience working on AWS
• Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions

• Define AWS data analytics services and understand how they integrate with each other.
• Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization.

Domain 1: Collection

• Determine the operational characteristics of the collection system
• Select a collection system that handles the frequency, volume, and source of data
• Select a collection system that addresses the key properties of data, such as order, format, and compression

Domain 2: Storage and Data Management

• Determine the operational characteristics of a storage solution for analytics
• Determine data access and retrieval patterns
• Select an appropriate data layout, schema, structure, and format
• Define a data lifecycle based on usage patterns and business requirements
• Determine an appropriate system for cataloging data and managing metadata

Domain 3: Processing

• Determine appropriate data processing solution requirements
• Design a solution for transforming and preparing data for analysis
• Automate and operationalize a data processing solution

Domain 4: Analysis and Visualization

• Determine the operational characteristics of an analysis and visualization solution
• Select the appropriate data analysis solution for a given scenario
• Select the appropriate data visualization solution for a given scenario

Domain 5: Security

• Select appropriate authentication and authorization mechanisms
• Apply data protection and encryption techniques
• Apply data governance and compliance controls