In-depth Actionable Training from the Comfort of Your Own Desk

Prerequisite: None

John L Myers

Research Analyst

Blue Buffalo Group

John Myers is an industry analyst in the areas of analytics, business intelligence, and big data with nearly 20 years of experience working in areas related to analytics in professional services consulting and product development. He helps organizations solve their business analytics problems, whether they relate to operational platforms (such as customer care or billing) or applied analytical applications (such as revenue assurance or fraud management).

Course Outline

The data integration landscape has changed radically in 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