Data
Data Virtualization
Duration
1 Day
Languages
French
Trainer(s)
Alban RISSON - Lead Data Architect Astrakhan
This training will allow you to discover the answers to questions about Data Virtualization, such as: What is Data Virtualization? What are the benefits? What are the different use cases of data virtualization? What are the performance optimization mechanisms?
You will also see examples of how to build a multi-source data platform with governance, a data catalog, and publication of business insights in the form of APIs.
Target audience
- CDO
- IT Managers
- Architects
- Data Scientists/Analysts
Prerequisites
- Knowledge of Data Challenges
Course Delivery
On site,
in your offices
Remote,
via Teams
Workshops
Training Program
Introduction to Data Virtualization
- Challenges
- Definitions, concepts and terminologies
Use cases
- Virtual Data Warehouse
- Semantic Layer for Analytics Applications
- System Migration
- Multi-cloud Data plateform
- Compliance with regulatory constraints
Governance & security
Performance optimization mechanisms
- Query optimization
- Push-down queries and massively parallel processing
- Cache Mechanisms
Example of implementation
- Construction of a multi-source data platform with governance, data catalog and publication of business insights in the form of an API.
