T4: Data Warehouse Rescue
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  Neil Raden   Neil Raden
CEO & Principal Analyst
Hired Brains Research


Monday, March 15, 2010
08:30 AM - 04:45 PM

Level:  Intermediate

Location:  Yosemite A

Most data warehouses, and the processes they support, were designed based in principles from 10 years ago or more. Even newer implementations suffer from this problem. However, technology has exploded and data warehouse/BI implementation are not designed for the latest changes such as externalization of business processes, real-time requirements, the vast quantities of unstructured data, massive scale, loosely coupled services replaced monolithic applications. The rapid rise of social networking connecting you with your customers, suppliers and regulators, not to mention your own employees, creates another channel for knowledge that is not accessible through current, fairly rigid data warehouse designs and operations. In this session, you will learn about a "surround strategy" that preserves the value of your data warehouse while positioning to embrace all of the newer requirements.

Presentation Outline:

  • The state of data warehouse design today
  • Emerging requirement from Web 2.0, SOA and social networking
  • Evaluating the gap
  • A plan for renovation
  • Design ideas
  • Some hints on how to proceed

Key Point 1: How the data warehouse needs to adapt to new requirements
Key Point 2: Understanding the gap between data warehouse design today and what is needed
Key Point 3: Some guidelines for renovating the data warehouse

Neil Raden is the founder of Hired Brains, a research and advisory firm in the BI industry. In the past, he's been a mathematician, an actuary, a software developer, a DSS consultant, and a founder of a SI doing DSS/Data warehousing/BI. He has almost 30 years experience, is a widely published writer, well-known speaker, and consultant.

He has personally designed over 100 data warehouses and implemented dozens of large analytical applications in finance, marketing, distribution, logistics, actuarial, scientific, statistical, consumer products and more.

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