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Duration 14 hours
Course Outline
Fundamentals of Cloud Data Management
- Core principles of data administration
- The strategic role of data within Industry Cloud Platforms
- Addressing the complexities of cloud-based data management
Data Integration and Orchestration
- Advanced techniques for data integration
- Selection and use of orchestration tools and platforms
- Adopting best practices for seamless data integration
Constructing Industry-Aware Data Fabrics
- Defining the concept and scope of Data Fabrics
- Architecting data fabrics tailored for Industry Clouds
- Practical implementation of data fabric strategies
Data Quality and Governance
- Maintaining data integrity in cloud environments
- Implementing robust data governance frameworks
- Navigating regulatory compliance and industry standards
Practical Lab: Navigating Data in Industry Clouds
- Configuring efficient data integration pipelines
- Developing a foundational Data Fabric structure
- Applying techniques for data quality assurance
Future Trends in Data Management
- Data strategies in the age of Big Data
- The impact of AI and Machine Learning on data practices
- Considerations for data privacy and ethical usage
Conclusion and Future Directions
Requirements
- A foundational grasp of core data concepts and structural models
- Practical experience with the basics of cloud computing
- Knowledge of various data processing and storage mechanisms
Target Audience
- Data engineers
- Cloud architects
- Business intelligence professionals
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.
