I've been able to work on a couple of types of data centric projects. One was creating an ODS based on consolidating customer data from multiple source systems. This involved finding the data, extracting, transforming, & loading, as well as matching customer records, de-dupping, address matching and data cleansing. Now I've been working with some teams who are focused on moving data into a data warehouse. When first working with data teams a typical reaction is that we can't do user stories. Or we have to complete the whole data model done up front. Or we have to load all the data at once otherwise we're duplicating work, ... Basically I get a reasonably long list of why we can't do incremental development for data centric projects.
Practical lean and agile tips for teams as they adopt and/or continue to use lean and agile principles
Friday, June 29, 2012
Tuesday, June 26, 2012
Dependencies continued - minimize 'em
The last post was about dependencies with a promise to talk about minimizing dependencies as the next post. Well, finally here it is.
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