The Analytics Engineering Roundup

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A measured look at what the economy means for data practitioners.
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Why leaving behind spreadsheets made us forget how to ask "what if" questions.
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... and other data stories: where to wire up A/B tests, your first management experience, why Scrum is like the Kardashians, and yes, that NYTimes viz.
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What is a metrics taxonomy? Why is experimentation so hard? Pandas' evil twin, the divergence of analytics and ML architectures, and taking back the…
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Embracing the chaos, and why data job titles are so 2021.
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Do we actually need so many different databases? Or can we shove them all into a single cloud infrastructure and behind the same SQL API?
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Why we should refuse to choose one or the other and why civilization hangs in the balance.
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Also in this issue: data team branding, snapshotting your metrics, building a culture of transparency, notebooks in production and even a little data…
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Why it's hard to talk about new things and why sometimes we sound a little silly when we try.
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On breaking free from pandemic patterns, how Newton's laws relate to data storytelling, why data says Dune should have won best picture, and the Lagos…
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Why you can't separate truth from power, how leveraging values systems empowers you to own your truth, and why everyone wants to work like an analyst…
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Data Council changed in part because we changed!
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