In The Pipeline
In the crossfire between Inmon & Kimball…
Reading List: Enterprise Data Architecture
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 is…
The Five Laws of Data Warehousing
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 unique perspective…
DevOps KPIs You Will Be Asked For, Eventually
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 sprintCapitalizable time ratios for developers and teams (e.g. capex vs. opex)Cycle time, in-cycle churn, lead timeQueue size by project and teams (measured in number of issues, story points…
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From Our Reading List
- Video introduction to the Snowflake data platform
- Simple, Composable Open Source ETL
- Recursive data warehousing with Snowflake
- Building data-centric not database-centric access controls
- It's a hard thing for those of us that grew up in an on-prem world, but remember: don't over-provision in the cloud!
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