The data engineering design space (2019 Edition)

First in a series on designing a course on data engineering. The next post specifies the learning outcomes. There is a version updated for 2020.

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Myth-spotting

As part of a larger project, I’m reading many articles from the management literature. This is a very different kind of writing and argument than I’m used to in the technical side of computing. The management literature (including the literature on management of computing personnel and projects) is also prone to fads, to such a degree that Harvard Business Review has an article on spotting management fads.

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The vision: A culture of effective meetings

Seventh and final post in a series on group decision-making, based on Ch. 10–11 of Making Meetings Work.

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Decision sculpting: Stepping back to see the whole mosaic

Sixth in a series on group decision-making, based on Ch. 10–11 of Making Meetings Work. The previous post suggested ways to learn the skill of decision crystallization.

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Three evidence-based books for better teaching

I’ve read many books on effective university education, covering a range of topics and perspectives. An annotated bibliography of them all would be a long post.

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