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Duration 14 hours
Course Outline
Introduction to Data Cloud
- Overview of cloud-based data management strategies
- Key features and strategic advantages of Data Cloud
- Role of Data Cloud within modern data ecosystems
Establishing a Data Cloud Environment
- Provisioning necessary resources within the Data Cloud platform
- Configuring storage architectures and data pipelines
- Utilizing tools for effective data monitoring and administration
Data Integration and Management
- Establishing connections to diverse data sources (databases, APIs, etc.)
- Handling data ingestion, transformation, and cloud storage
- Designing workflows for real-time and batch processing
Data Analysis and Visualization
- Applying built-in analytics tools to extract insights
- Developing visual representations and interactive dashboards
- Generating and disseminating reports to relevant stakeholders
Security and Compliance in Data Cloud
- Executing robust data security protocols
- Ensuring adherence to regulatory standards (e.g., GDPR, HIPAA)
- Managing access controls and maintaining audit logs
Capstone Project: Constructing a Data Workflow
- Architecting a cloud-based data workflow tailored to a specific use case
- Executing data integration, analysis, and visualization
- Presenting outcomes and insights to peers or instructors
Conclusion and Future Directions
Requirements
- Fundamental understanding of cloud computing principles
- Proficiency in standard data management procedures
- Practical experience with basic data analytics utilities (e.g., spreadsheets, databases)
Target Audience
- Data managers
- Business analysts
- Data architects
- IT professionals specializing in cloud technologies
