A measured look at what the economy means for data practitioners.
Why leaving behind spreadsheets made us forget how to ask "what if" questions.
... 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.
What is a metrics taxonomy? Why is experimentation so hard? Pandas' evil twin, the divergence of analytics and ML architectures, and taking back the…
Embracing the chaos, and why data job titles are so 2021.
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?
Why we should refuse to choose one or the other and why civilization hangs in the balance.
Also in this issue: data team branding, snapshotting your metrics, building a culture of transparency, notebooks in production and even a little data…
Why it's hard to talk about new things and why sometimes we sound a little silly when we try.
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…
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…
Data Council changed in part because we changed!