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Course Outline
Introduction to Data Cloud
- Overview of cloud-centric data management strategies
- Primary features and competitive advantages of Data Cloud
- Recognizing the role of Data Cloud within contemporary data ecosystems
Establishing a Data Cloud Environment
- Allocating resources within a Data Cloud platform
- Setting up storage solutions and data pipelines
- Reviewing instruments for data monitoring and administration
Data Integration and Administration
- Establishing connections with diverse data origins, including databases and APIs
- Handling data ingestion, conversion, and secure cloud storage
- Designing workflows for both real-time and batch data processing
Data Analysis and Visualization
- Employing embedded analytics tools to uncover insights
- Developing visual representations and interactive dashboards
- Producing and distributing reports to key stakeholders
Security and Compliance within Data Cloud
- Applying robust data security protocols
- Maintaining compliance with applicable regulations, such as GDPR and HIPAA
- Managing access controls and maintaining audit logs
Capstone Project: Constructing a Data Workflow
- Architecting a cloud-based data workflow tailored to a specific use case
- Executing data integration, analysis, and visualization tasks
- Presenting findings and insights to colleagues or course instructors
Conclusion and Future Steps
Requirements
- Foundational understanding of cloud computing principles
- Acquaintance with standard data management procedures
- Practical experience with fundamental data analytics instruments, such as spreadsheets and databases
Target Audience
- Data managers
- Business analysts
- Data architects
- IT professionals engaged with cloud technologies
14 Hours