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Blog: Richard Hackathorn Subscribe to this blog's RSS feed!

Richard Hackathorn

Welcome to my blog stream. I am focusing on the business value of low latency data, real-time business intelligence (BI), data warehouse (DW) appliances, use of virtual world technology, ethics of business intelligence and globalization of business intelligence. However, my blog entries may range widely depending on current industry events and personal life changes. So, readers beware!

Please comment on my blogs and share your opinions with the BI/DW community.

About the author >

Dr. Richard Hackathorn is founder and president of Bolder Technology, Inc. He has more than thirty years of experience in the information technology industry as a well-known industry analyst, technology innovator and international educator. He has pioneered many innovations in database management, decision support, client-server computing, database connectivity, associative link analysis, data warehousing, and web farming. Focus areas are: business value of timely data, real-time business intelligence (BI), data warehouse appliances, ethics of business intelligence and globalization of BI.

Richard has published numerous articles in trade and academic publications, presented regularly at leading industry conferences and conducted professional seminars in eighteen countries. He writes regularly for the BeyeNETWORK.com and has a channel for his blog, articles and research studies. He is a member of the IBM Gold Consultants since its inception, the Boulder BI Brain Trust and the Independent Analyst Platform.

Dr. Hackathorn has written three professional texts, entitled Enterprise Database Connectivity, Using the Data Warehouse (with William H. Inmon), and Web Farming for the Data Warehouse.

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

October 2006 Archives

In Colin White's article on Enterprise Data Mountain, Part I, he opens Pandora's Box of various data store components for the new architecture of enterprise data integration, whose objective is to create an integrated and consistent view of your enterprise. The architecture is service-oriented using an Enterprise Service Bus to link the components.

Forget the old paradigm of OLTP-OLAP happily coexisting! It isn't your father's data warehouse! It's a new ballgame, folks!

But... Colin forgot an important component... More and more data comes to the enterprise as a stream. You say, "So what? Just batch the stream!"

This is a BIG stream, as in megabytes per second coming from a virtual data store of many petabytes. This is a CONSTANTLY CHANGING stream in content and structure. Forget storing the data. Examine it on the fly and decide instantly what aspects are important to manage within the enterprise data mountain. This gives new meaning to the phrase "unstructured data". See the work of Jeff Jonas of IBM on perpetual analytics.

Let's label this new component as a Very Large Data Stream (VLDS), as a bow to the critical contributions of the Very Large Data Base community over the past twenty years.

Is VLDS important? I would predict that such streams are and will be critical sources to the enterprise data mountain as it evolves of the coming decade. New media sources (established news channels, blogging, YouTube), near real-time satellite images, detailed weather data, point-of-sale data from all your stores plus samples of the rest of your industry, RFID data tracking your full supply chain globally, and on and on... That is Enterprise 2.0 of the future.

What do you think? Crazy ideas or right on?


Posted October 11, 2006 10:09 AM
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One of the issues of off-shoring has been security of the information that U.S. companies share with their partners. Outsourcing firms, especially in India, are sensitive to this issue and go to great lengths to assure their corporate clients that their data security is excellent.

Well... As reported by Zonk in Slashdot, Channel 4 in the U.K. did a 12-month TV investigation showing how credit card and passport data on thousands of banking customers could be bought for as little as US$9.50 each.

The fallout from this investigation has been significant! Read the comments on this Slashdot posting over the coming month. There are several insightful comments, along with a diversity of perspectives.


Posted October 7, 2006 12:00 PM
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