Blog: William McKnight Subscribe to this blog's RSS feed!

William McKnight

Hello and welcome to my blog!

I will periodically be sharing my thoughts and observations on information management here in the blog. I am passionate about the effective creation, management and distribution of information for the benefit of company goals, and I'm thrilled to be a part of my clients' growth plans and connect what the industry provides to those goals. I have played many roles, but the perspective I come from is benefit to the end client. I hope the entries can be of some modest benefit to that goal. Please share your thoughts and input to the topics.

About the author >

William is the president of McKnight Consulting Group, a firm focused on delivering business value and solving business challenges utilizing proven, streamlined approaches in data warehousing, master data management and business intelligence, all with a focus on data quality and scalable architectures. William functions as strategist, information architect and program manager for complex, high-volume, full life-cycle implementations worldwide. William is a Southwest Entrepreneur of the Year finalist, a frequent best-practices judge, has authored hundreds of articles and white papers, and given hundreds of international keynotes and public seminars. His team's implementations from both IT and consultant positions have won Best Practices awards. He is a former IT Vice President of a Fortune company, a former software engineer, and holds an MBA. William is author of the book 90 Days to Success in Consulting. Contact William at wmcknight@mcknightcg.com.

Editor's Note: More articles and resources are available in William's BeyeNETWORK Expert Channel. Be sure to visit today!

Based on the realities of data warehousing today, a selected technical architecture for data warehousing should be:

• Manageable - Through minimal support tasks requiring DBA/System Administrator intervention. It should provide a single point of control to simplify system administration. You should be able to create and implement new tables and indexes at will.
• Complete and Integrated – The toolset should be comprehensive across the spectrum of eventual requirements for data and its access.
• Interoperable - Integrated access to the web, Microsoft Office, internal networks, and corporate mainframes.
• Scalable – The ability to handle increasing data sizes and workloads with simple additions to the architecture, as opposed to the increases requiring a rearchitecture
• Affordable – Proposed solution (hardware, software, services, required customer support) providing a low total cost of ownership (TCO) over a multi-year period.
• Proven and Supported – You don’t want to risk a critical decision regarding a fundamental underpinning of the data warehouse environment on an unproven solution.
• Flexible - Provides optimal performance across the full range of models with large numbers of tables. Look for proven ability to support multiple applications from different business units, leveraging data that is integrated across business functions and subject areas.
• User Accessible – Compatibilities and interoperability with data access tools that provide a wide range of user-friendly access options.


Posted October 12, 2006 8:47 AM
Permalink | No Comments |

Leave a comment

    
   VISIT MY EXPERT CHANNEL

Search this blog
Categories ›
Archives ›
Recent Entries ›