In the crossfire between Inmon & Kimball…
Admitting we have a problem is the first step toward fixing it… A decade old essay on Doing It Wrong to depress you, then one on Agile Data Testing (that might be even older!) to lift the spirits. Virtualize the warehouse wherever possible to reduce the amount of “data ROT”. Data ROT: Data that isContinue reading “Reading List: Enterprise Data Architecture”
My sincere apologies to Issac Asimov. Software is automation. Data warehouses are software. Your data warehouse should be a robot, programmed and tuned to provide the right data to the right people at the right time, while constantly checking itself for errors and inconsistencies. Model your business, not your source systems. Your competitive advantage is your uniqueContinue reading “The Five Laws of Data Warehousing”
How many of these have you spotted in the wild? And which obvious ones did I miss? Operational Metrics Work in progress, by resource, team, project, and sprint Capitalizable time ratios for developers and teams (e.g. capex vs. opex) Cycle time, in-cycle churn, lead time Queue size by project and teams (measured in number ofContinue reading “DevOps KPIs You Will Be Asked For, Eventually”
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