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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 within modern data ecosystems.
Setting Up a Data Cloud Environment
- Provisioning resources on a Data Cloud platform.
- Configuring storage solutions and data pipelines.
- Exploring tools for monitoring and managing data.
Data Integration and Management
- Connecting to various data sources, such as databases and APIs.
- Data ingestion, transformation, and cloud storage.
- Implementing workflows for both real-time and batch data processing.
Data Analysis and Visualization
- Utilizing built-in analytics tools to extract insights.
- Creating visualizations and dashboards.
- Generating and sharing reports with stakeholders.
Security and Compliance in Data Cloud
- Implementing best practices for data security.
- Ensuring compliance with regulations (e.g., GDPR, HIPAA).
- Managing access control and audit logs.
Final Project: Building a Data Workflow
- Designing a cloud-based data workflow for a specific use case.
- Integrating, analyzing, and visualizing data.
- Presenting results and insights to peers or instructors.
Summary and Next Steps
Requirements
- Foundational understanding of cloud computing concepts.
- Familiarity with standard data management practices.
- Practical experience with basic data analytics tools (such as spreadsheets and databases).
Audience
- Data managers.
- Business analysts.
- Data architects.
- IT professionals working with cloud technologies.
14 Hours
