Beyond Inmon and Kimball: Extended DW Architecture for Agility and Innovation

While never as simple as the textbooks describe, multi-source enterprise integration and dimensional design for OLAP are “old hat”. Beyond these constructs for physical organization of the data warehouse, today’s DW architect must accommodate complementary data platforms such as Hadoop, agile techniques to provide fast exposure to business data, production sandboxes for business partners, and clear tiers of service in the shared enterprise DW.

This session presents a case study of experiments with these extensions of the data warehouse to serve a rapidly evolving business while advancing enterprise data integrity and quality.

What attendees will learn:

Architectural options for extended capabilities to the business and IT
Governance policies, procedural controls, and system constraints for such options
Case study with successes and failures

Attila Finta has 30 years of leadership in information technology and information management, including systems planning, architecture, analysis, design, development, testing, training, technology management, and project management. Over the years he has supported a variety of industries including: manufacturing, service, retail, pharmaceutical, government, telecommunications, financial services, insurance, petroleum, media, e-commerce, and airline. He specializes in the end-to-end planning, architecture, analysis, design, and implementation of data (and metadata) integration and business intelligence solutions. He currently is chief architect for the enterprise data warehouse at Dell.