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Course Outline
Introduction to Data Cloud
- Overview of cloud-based data management
- Core features and advantages of Data Cloud
- Understanding Data Cloud’s role in modern data ecosystems
Setting Up a Data Cloud Environment
- Provisioning resources in a Data Cloud platform
- Configuring storage and data pipelines
- Exploring tools for monitoring and managing data
Data Integration and Management
- Connecting to various data sources (databases, APIs, etc.)
- Data ingestion, transformation, and storage in the cloud
- Implementing workflows for real-time and batch data processing
Data Analysis and Visualization
- Using built-in analytics tools for insights
- Creating visualizations and dashboards
- Generating and sharing reports with stakeholders
Security and Compliance in Data Cloud
- Implementing data security best practices
- Ensuring compliance with regulations (e.g., GDPR, HIPAA)
- Access control and audit logs
Final Project: Building a Data Workflow
- Designing a cloud-based data workflow for a use case
- Integrating, analyzing, and visualizing data
- Presenting results and insights to peers or instructors
Summary and Next Steps
Requirements
- Basic knowledge of cloud computing concepts
- Familiarity with data management practices
- Experience with basic data analytics tools (e.g., spreadsheets, databases)
Audience
- Data managers
- Business analysts
- Data architects
- IT professionals working with cloud technologies
14 Hours
