About InfoKarta Inc
We are architects/designers/implementors of data warehouse and VLDB systems since the early 90s and provide specialized consulting services, software automation and customized solutions to businesses that build and maintain large data warehouses and decision support environments. InfoKarta Inc was founded in 2005 and started operations the summer of 2006 in technology consulting and tools development around the DB2 platform and parallel technology. It was founded by Michael Kamfonas to expand his independent practice through partners and associates, and to consolidate and more broadly promote methods and technology.
Our expertise in financial and retail environments has been tested by some of the most demanding requirements in combination with very large amounts of data. In Retail, for example, we have implemented a proprietary design for delivering the average ticket metric at all levels of the product hierarchy. In finance, we have used nested sets for implementing various dynamic aggregations of financial elements or other hierarchies since 1991. We were the first to invent, use and publish this SQL method of hierarchy traversal in this 1992 Relational Journal article reprint. We call our methodology “The Versioned Dimensional Model” (VDM). It originated in 1991, before dimensional modeling was publicized by Kimball. The earliest publications (1992) were in the Relational Journal (Codd and Date’s Relational Institute) and later through the 90s in trade magazines and presented in conferences. Since 2000 various white papers and reports have been only available to existing and prospective customers. This site is a better alternative, and is extensively used for elaboration and documentation on general or customer-specific topics. We specialize in parallel technologies such as DB2/UDB and Teradata, parallel data flow and ETL, as well as various open source frameworks. Our VDM toolkit supports various aspects of software automation and is adaptable, so it can integrates with proprietary and open source parallel frameworks.