Chapter 3
Data Virtualization ServerThe Building Blocks
3.1 Introduction
In this and the following three chapters we’re opening up the hood of a data virtualization server and taking a peek at the internal technology and the building blocks. Topics addressed include the following:
• Importing existing tables and nonrelational data sources
• Defining virtual tables, wrappers, and mappings
• Combining data from multiple data stores
• Publishing virtual tables through APIs, such as SQL and SOAP
• Defining security rules
• Management of a data virtualization server
• Caching of virtual tables
• Query optimization techniques
This chapter deals with the first four items on this list.
3.2 The High-Level Architecture of a Data Virtualization Server ...
Get Data Virtualization for Business Intelligence Systems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.