Month: March 2016

The Data Pipeline Requirements Model

by Jason Williscroft

Data management projects are complex. In a previous article we made the case for explicitly capturing and decomposing High-Level Requirements (HLRs) into Low-Level Requirements (LLRs) in a manner that facilitates the tracking of individual LLRs through the analysis and development process and into production code. A more thorough treatment of this idea, along with the nuts and…

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That One Component Your Team Is Scared to Touch

by Adam Roderick

Efficient enterprise data management implementation teams practice good code reuse to allow themselves to move quickly, minimize errors, and keep their systems simpler than otherwise. This results in dependencies among database objects such as tables, views, functions, and stored procedures. Every team has good intentions to keep the system organized, and some do it successfully. But…

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