The Aginity Blog Migrate From a Static Enterprise Data Warehouse to an Active Enterprise Data Factory Posted by: Ted Westerheide - Chief Architect on 1/25/2010 | 0 Comments Categories: analytic data factory While a company always has the option to build their enterprise data systems from scratch as an active enterprise data factory, most companies have large legacy data warehouses.  In those cases, it is always possible, and often desirable, to migrate to the data factory.  Here are the six major steps involved in a migration approach. Read More Planning and Building an Enterprise Data Factory Posted by: Dan Kuhn - CTO on 11/30/2009 | 0 Comments Categories: Netezza enterprise data factory analytic data factory data factory The key to the data factory approach is a clear end-to-end view of the data production system. It is important to chalk out what needs to be achieved in the short-term and the long-term. Before beginning a data factory initiative it is important to ask the question "How will the business be different after we've implemented this solution?"  Other questions that need to be asked are: what represents the real value for the end users and for the business? What are the challenges wit data and analytics quality? Read More The MPP Data Factory: A Better Approach to the Data Production Problem Posted by: Ted Westerheide - Chief Architect on 8/31/2009 | 0 Comments Categories: enterprise data factory analytic data factory data factory For decades, heavyweights of the information service provider industry such as The Nielsen Company, Information Resources Incorporated (IRI), and Acxiom Corporation have successfully built systems that address the same issues today’s new data-centric businesses are struggling with. Read More The Problem with Ad-hoc Systems in a Data Factory Environment Posted by: Ted Westerheide - Chief Architect on 7/14/2009 | 0 Comments Categories: analytic data factory data factory Most companies reach a chaotic stage in the evolution of their business by cobbling together ad-hoc systems to process data into advanced analytic output using scripts and non-specialized tools. These rudimentary production systems often deliver initial customer satisfaction, but the costs of managing data this way grow exponentially, eat up the profits that should come with the economies of scale, and act as an impediment to business growth.  They are far from the data factory model and high-performance data factory architecture. Read More Automating The Production Of High Quality Analytics Posted by: Ted Westerheide - Chief Architect on 7/6/2009 | 0 Comments Categories: analytic data factory data factory As businesses become increasingly digital, mountains of data are being generated that form the basis for new types of business models. These data-centric businesses leverage high-quality analytics as a core component of their value proposition. Read More   Blog Home		Recent Posts Compile and Register Analytic Process Creating a Netezza User Defined Aggregate (UDA) – understanding the basics Creating a Netezza User Defined Aggregate (UDA) – sample aggregate Archive July 2010 (3) June 2010 (5) May 2010 (1) April 2010 (3) March 2010 (4) February 2010 (1) January 2010 (1) November 2009 (3) September 2009 (2) August 2009 (6) July 2009 (2) Bloggers Brian Weissler Dan Kuhn - CTO Doug Grimsted - CEO Oleg Roman Taluev Sergey Astahov Ted Westerheide - Chief Architect Category List analytic data factory (5) architecture (3) cloud computing (1) code sample (5) data factory (12) data quality (3) data warehouse architecture (3) enterprise data factory (4) Enzee 2010 (5) methodology (2) MPP (3) Netezza (11) operations management (1) Tag Cloud amazon cloud computing cloud services code continuous build data distribution data warehouse performance dimensional scarcity dimensional sparseness ec2 factory architecture factory methodology iclass massively parallel netezza operations management sample snowflake schema udf udx