Detailed Course Outline
Module 0: Introduction and Overview
Module 1: Domain 1 – Data Collection Systems
- 1.1 Determine the operational characteristics of the collection system
- 1.2 Select a collection system that handles the frequency, volume, and source of data
- 1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression
- Multiple question interactive domain review
Module 2: Domain 2 – Storage and Data Management Concerns
- 2.1 Determine the operational characteristics of the storage system for analytics
- 2.2 Determine data access and retrieval patterns
- 2.3 Select an appropriate data layout, schema, structure, and format
- 2.4 Define a data lifecycle based on usage patterns and business requirements
- 2.5 Determine the appropriate system for cataloging data and managing metadata
- Multiple question interactive domain review
Module 3: Domain 3 – Data Processing Solutions
- 3.1 Determine appropriate data processing solution requirements
- 3.2 Design a solution for transforming and preparing data for analysis
- 3.3 Automate and operationalize a data processing solution
- Multiple question interactive domain review
Module 4: Domain 4 – Analysis and Visualization of Analytical Data
- 4.1 Determine the operational characteristics of the analysis and visualization solution
- 4.2 Select the appropriate data analysis solution for a given scenario
- 4.3 Select the appropriate data visualization solution for a given scenario
- Multiple question interactive domain review
Module 5: Domain 5 – Security of the Data Analysis System
- 5.1 Select the appropriate authentication and authorization mechanisms
- 5.2 Apply data protection and encryption techniques
- 5.3 Apply data governance and compliance controls
- Multiple question interactive domain review
Module 6: AWS Exam Preparation
- 20 question practice exam
Module 7: Course Review and Wrap-Up