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Course Outline
Introduction to Data Management in the Cloud
- Fundamentals of data management
- The role of data in Industry Cloud Platforms
- Challenges associated with cloud-based data management
Data Integration and Orchestration
- Techniques for data integration
- Orchestration tools and platforms
- Best practices for data integration
Building Industry-Aware Data Fabrics
- Concepts underpinning Data Fabrics
- Designing data fabrics for Industry Clouds
- Practical implementation of data fabrics
Data Quality and Governance
- Ensuring data quality in cloud environments
- Data governance frameworks
- Regulatory compliance and industry standards
Hands-On Lab: Working with Data in Industry Clouds
- Setting up data integration pipelines
- Constructing a basic Data Fabric
- Data quality assurance techniques
Emerging Trends in Data Management
- Data management in the Big Data era
- The growing influence of AI and Machine Learning
- Data privacy and ethical usage
Summary and Next Steps
Requirements
- A solid understanding of basic data concepts and structures
- Experience with the fundamentals of cloud computing
- Familiarity with data processing and storage mechanisms
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.
