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Course Outline
Introduction to Data Cloud
- Overview of cloud-based data management strategies
- Key features and benefits of the Data Cloud platform
- The role of Data Cloud in contemporary data ecosystems
Configuring the Data Cloud Environment
- Resource provisioning within the Data Cloud framework
- Setting up storage solutions and data pipelines
- Utilizing tools for data monitoring and management
Data Integration and Management
- Establishing connections to diverse data sources, including databases and APIs
- Processes for data ingestion, transformation, and cloud storage
- Designing workflows for both real-time and batch data processing
Data Analysis and Visualization
- Leveraging built-in analytics tools for strategic insights
- Developing effective visualizations and dashboards
- Creating and distributing reports to key stakeholders
Security and Compliance in Data Cloud
- Applying best practices for robust data security
- Maintaining compliance with regulations such as GDPR and HIPAA
- Managing access controls and maintaining audit logs
Capstone Project: Developing a Data Workflow
- Architecting a cloud-based data workflow for a specific use case
- Executing data integration, analysis, and visualization
- Presenting findings and insights to peers or instructors
Summary and Future Directions
Requirements
- Fundamental understanding of cloud computing principles
- Proficiency in standard data management practices
- Practical experience with basic data analytics tools, such as spreadsheets and databases
Target Audience
- Data managers
- Business analysts
- Data architects
- IT professionals specializing in cloud technologies
14 Hours
