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Duration 14 hours
Course Outline
Introduction to Data Cloud
- Foundations of cloud-based data governance
- Key functionalities and strategic benefits of Data Cloud
- Role of Data Cloud in contemporary data architectures
Establishing a Data Cloud Environment
- Allocating resources within a Data Cloud platform
- Configuring storage solutions and data processing pipelines
- Utilizing tools for data monitoring and administrative control
Data Integration and Administration
- Linking to diverse data origins, including databases and APIs
- Processes for cloud-based data ingestion, transformation, and retention
- Deploying workflows for real-time and batch data operations
Data Analysis and Visualization
- Leveraging integrated analytics capabilities for informed decision-making
- Developing visual representations and operational dashboards
- Producing and distributing reports to key stakeholders
Security and Regulatory Compliance in Data Cloud
- Applying security protocols and best practices for data protection
- Maintaining adherence to statutory regulations (e.g., GDPR, HIPAA)
- Managing access controls and maintaining audit trails
Final Project: Constructing a Data Workflow
- Designing a cloud-native data workflow for a specific application
- Synthesizing, analyzing, and visualizing data assets
- Presenting findings and strategic insights to colleagues or evaluators
Conclusion and Future Directions
Requirements
- Foundational understanding of cloud computing principles
- Working knowledge of data management standards
- Proficiency with basic data analytics tools, such as spreadsheets and databases
Target Audience
- Data managers
- Business analysts
- Data architects
- IT professionals specializing in cloud technologies
