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Duration 14 hours
Course Outline
Overview of Data Management Strategies in Cloud Environments
- Core principles of data administration
- The function of data within Industry Cloud Platforms
- Operational challenges associated with cloud-based data handling
Data Integration and Workflow Orchestration
- Methodologies for data integration
- Tools and platforms for orchestration
- Recommended protocols for effective data integration
Constructing Industry-Cognizant Data Fabrics
- Definition and conceptualization of Data Fabrics
- Architectural design of data fabrics for Industry Clouds
- Practical deployment of data fabric solutions
Data Integrity and Governance Frameworks
- Maintaining high data quality within cloud infrastructures
- Establishing data governance structures
- Adherence to regulatory standards and compliance requirements
Practical Application: Managing Data in Industry Clouds
- Configuration of data integration pipelines
- Development of a foundational Data Fabric
- Implementation of data quality assurance protocols
Current Trends in Data Administration
- Data management strategies in the Big Data era
- The impact of AI and Machine Learning
- Data privacy and ethical utilization standards
Conclusion and Recommended Pathways
Requirements
- Demonstrated knowledge of foundational data concepts and structural models
- Proficiency in cloud computing principles
- Competence in data processing and storage methodologies
Target Audience
- Data engineering professionals
- Cloud architecture specialists
- Business intelligence practitioners
Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
Arisbe Mendoza - Fairtrade International
Course - GDPR Workshop
It's a hands-on session.