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Course Outline
Foundations of Cloud-Based Data Management
- Core principles of data management
- The significance of data in Industry Cloud Platforms
- Navigating the complexities of cloud data management
Data Integration and Workflow Orchestration
- Methods for effective data integration
- Tools and platforms for orchestration
- Industry best practices for data integration
Developing Industry-Aware Data Fabrics
- Understanding the data fabric concept
- Architecting data fabrics for Industry Clouds
- Practical implementation strategies
Upholding Data Quality and Governance
- Maintaining data integrity in the cloud
- Frameworks for data governance
- Meeting regulatory compliance and standards
Practical Lab: Managing Data in Industry Clouds
- Configuring data integration pipelines
- Constructing a basic Data Fabric
- Applying data quality assurance methods
Frontier Trends in Data Management
- Data management in the Big Data era
- The impact of AI and Machine Learning
- Data privacy and ethical considerations
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental data concepts and structural models
- Practical experience with cloud computing basics
- Knowledge of data processing workflows and storage solutions
Target Audience
- Data engineers
- Cloud architects
- Business intelligence specialists
14 Hours
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.