In our Architects path you will learn how to design applications based on data virtualization groundbreaking technology, consolidating multiple data silos into virtual repositories and unified data services layers.
Understand how to fulfill your enterprise information needs with virtualized datasets.
Design a common data model across diverse data infrastructure, including Cloud and Big Data.
Plan enterprise wide data management and governance policies for data virtualization.
Scale architectures to match data services consuming needs.
This course covers architectural patterns for the use of data virtualization and best practices for performance optimization, data services governance, scalability and operation. Student will learn how to architect a data virtualization infrastructure to manage the different virtual data workloads with the performance and reliability demanded by the consuming business applications.
Get started with data virtualization. Learn the DV (data virtualization) concepts and how DV compares to and complements other data integration & data management solutions. Understand the scenarios where DV is the right architectural approach, learn how it is deployed and operated, review successful use cases and deployments.
This course is a hands-on training track intended to achieve the first set of skills to efficiently use the Denodo Platform for data virtualization. It is recommended after taking the Data Virtualization Essentials course, and it covers with a practical emphasis data access, data modeling and integration and data services publishing development skills.