Course Outline
Introduction to Data Management in the Cloud
- Fundamentals of data management
- Role of data in Industry Cloud Platforms
- Challenges of data management in the cloud
Data Integration and Orchestration
- Data integration techniques
- Orchestration tools and platforms
- Best practices for data integration
Building Industry-Aware Data Fabrics
- Concept of Data Fabrics
- Designing data fabrics for Industry Clouds
- Implementing data fabrics in practice
Data Quality and Governance
- Ensuring data quality in the cloud
- Data governance frameworks
- Regulatory compliance and standards
Hands-On Lab: Working with Data in Industry Clouds
- Setting up data integration pipelines
- Creating a simple Data Fabric
- Data quality assurance techniques
Emerging Trends in Data Management
- Data management in the era of Big Data
- The rise of AI and Machine Learning
- Data privacy and ethical use
Summary and Next Steps
Requirements
- An understanding of basic data concepts and structures
- Experience with cloud computing fundamentals
- Familiarity with data processing and storage mechanisms
Audience
- Data engineers
- Cloud architects
- Business intelligence professionals
Testimonials (5)
The ability to Engauge on a 1:1 basis and ensure I had clarity and understanding on the concepts discussed.
Dave - Sea
Course - Data Architecture Fundamentals
knowledge, exemplary training
Krzysztof Kantorski - Santander
Machine Translated
Avoir déjà le code des exercices, cela permet de mieux se concentrer sur les points importants à comprendre et retenir, en étant disponible pour poser les questions.
Carole Roux - INRAE
Course - EBX5 for Developers
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.