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Course Outline
Introduction to Cloud-Based Data Management
- Core principles of data management
- The significance of data within Industry Cloud Platforms
- Navigating the challenges of data management in cloud environments
Data Integration and Orchestration
- Advanced data integration techniques
- Overview of orchestration tools and platforms
- Industry best practices for data integration
Developing Industry-Aware Data Fabrics
- The concept and architecture of Data Fabrics
- Designing data fabric solutions tailored for Industry Clouds
- Practical implementation strategies for data fabrics
Data Quality and Governance
- Maintaining data quality standards in the cloud
- Implementing data governance frameworks
- Adhering to regulatory compliance and industry standards
Practical Workshop: Data Operations in Industry Clouds
- Configuring data integration pipelines
- Building a foundational Data Fabric
- Applying data quality assurance techniques
Future Trends in Data Management
- Data management strategies in the era of Big Data
- The impact of AI and Machine Learning on data practices
- Data privacy considerations and ethical usage
Concluding Summary and Recommended Next Steps
Requirements
- A solid grasp of fundamental data concepts and structures
- Practical experience with cloud computing fundamentals
- Working knowledge of data processing and storage mechanisms
Target Audience
- Data engineers
- Cloud architects
- Business intelligence professionals
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.