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Course Outline
Introduction to Data Cloud
- An overview of cloud-based data management strategies
- Key features and strategic advantages of Data Cloud
- Understanding Data Cloud’s pivotal role in modern data ecosystems
Establishing a Data Cloud Environment
- Provisioning necessary resources within the Data Cloud platform
- Setting up storage solutions and data pipelines
- Utilizing tools for data monitoring and administration
Data Integration and Governance
- Connecting to diverse data sources, including databases and APIs
- Handling data ingestion, transformation, and secure cloud storage
- Creating workflows for both real-time and batch data processing
Data Analysis and Visualization
- Leveraging built-in analytics tools to uncover insights
- Developing visualizations and comprehensive dashboards
- Producing 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: Constructing a Data Workflow
- Designing a cloud-based data workflow for a specific use case
- Executing data integration, analysis, and visualization
- Presenting findings and insights to peers or the instructor
Recap and Future Directions
Requirements
- Fundamental understanding of cloud computing principles
- Working knowledge of data management processes
- Proficiency with basic data analytics tools, such as spreadsheets and databases
Target Audience
- Data managers
- Business analysts
- Data architects
- IT professionals focused on cloud technologies
14 Hours
