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Data’s New Virtual Reality Driven by Business Needs for Speed and Agility

What if you could simply and easily analyze consolidated information from a sales data mart, a few spreadsheets and a big social media feed? How about the value you could gain from combining real-time customer behavior information with historical trend data from disparate sources to make instant, insightful decisions? For many IT shops, it’s a dream; perhaps a nightmare. For many modern businesses, it’s a necessity. For some market leaders, it’s the new Virtual Reality — a Data Virtualization reality.

This document describes how Data Virtualization avhieve:

  • Abstraction: Business people receive a business (semantic) view of information, hiding technical complexity with an abstraction layer based on a model and metadata that describe the data
  • Delivery: Using well-defined, shared data services, which allow data delivery to different users or applications in real-time as well as scheduled and cached modes
  • Transformation: Based on models and metadata, individual or combined data is transformed to a common schema, addressing quality, consistency and usability requirements
  • Combination: Data returned from multiple sources is joined as required in the higher-level query
  • Access: Interfaces address a wide variety of sources —relational databases, spreadsheets, multi-structured formats such as documents, NoSQL and XML files as well as web pages and services.

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