Prerequisite: None

Course Outline

The data integration landscape has changed radically the past few years. What was once a relatively manageable problem of blending and unifying data from enterprise transaction systems has grown to encompass external data, Web data, clickstream data, end-user data, big data, cloud data, and more. New expectations for information-driven business agility further compound the complexities of modern data integration. The ETL-based data warehouse is no longer enough. Data virtualization is a core component of next-generation data integration architectures, techniques, and technology.

Get ready to expand your data integration capabilities, deliver business-speed information, and make the most of recent advances in data integration technology. Through a combination of lecture, exercises, and case study review, you will learn how data virtualization works and how to position it in your data integration architecture and processes.

You Will Learn

• Data virtualization definitions and terminology
• Business case and technical rationale for data virtualization
• Key concepts and foundational principles of virtualization—views, services, etc.
• Data virtualization lifecycle, capabilities, and processes
• How to extend the data warehouse with virtualization
• How virtualization enables federation and enterprise data integration
• How virtualization is applied for big data and cloud data challenges
• How companies use virtualization to solve business problems and drive business agility

Geared To

• BI, MDM, and data warehousing program and project managers
• Data integration architects, designers, and developers
• Data and technology architects