Data Management and Industry-Aware Data Fabrics Training Course
A Data Fabric constitutes an architectural framework alongside a suite of data services that deliver consistent functionality across a selection of endpoints, extending from on-premises setups to multiple cloud environments. Industry-Aware Data Fabrics represent an advanced methodology for data management, which consolidates diverse data sources across cloud platforms to establish a unified and coherent data ecosystem.
This instructor-led, live training (available online or onsite) targets 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 able to:
- Grasp the principles and components underlying data fabrics.
- Design and deploy data integration and orchestration solutions.
- Guarantee data quality and governance within industry cloud platforms.
- Leverage data fabrics to facilitate industry-specific data analysis and 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 sessions.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to arrange your needs.
Course Outline
Introduction to Data Management in the Cloud
- Fundamentals of data management.
- The role of data in Industry Cloud Platforms.
- Challenges associated with data management in the cloud.
Data Integration and Orchestration
- Techniques for data integration.
- Tools and platforms for orchestration.
- Best practices for data integration.
Building Industry-Aware Data Fabrics
- The concept of Data Fabrics.
- Designing data fabrics for Industry Clouds.
- Practical implementation of data fabrics.
Data Quality and Governance
- Ensuring data quality within cloud environments.
- Frameworks for data governance.
- Regulatory compliance and relevant 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
- A solid understanding of fundamental data concepts and structures.
- Experience with the basics of cloud computing.
- Familiarity with mechanisms for data processing and storage.
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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