Data Management and Industry-Aware Data Fabrics Training Course
A Data Fabric constitutes an architectural framework combined with a suite of data services that deliver consistent capabilities across a diverse range of endpoints, encompassing both on-premises infrastructures and multiple cloud environments. Industry-Aware Data Fabrics represent a sophisticated approach to data management, seamlessly integrating disparate data sources across cloud platforms to establish a unified and coherent data ecosystem.
This instructor-led, live training session, available either online or onsite, is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals seeking to master data management within industry-specific cloud environments.
Upon completion of this training, participants will be equipped to:
- Grasp the fundamental principles and core components of data fabrics.
- Design and deploy effective data integration and orchestration solutions.
- Uphold high standards of data quality and governance within industry cloud platforms.
- Leverage data fabrics to facilitate industry-specific data analysis and informed decision-making.
- Remain abreast of emerging trends and technologies in cloud data management.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
Open Training Courses require 5+ participants.
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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.
Vorraluck Sarechuer - Total Access Communication Public Company Limited (dtac)
Course - Talend Open Studio for ESB
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