A measured look at what the economy means for data practitioners.
16
Why leaving behind spreadsheets made us forget how to ask "what if" questions.
21
8
... 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.
16
1
What is a metrics taxonomy? Why is experimentation so hard? Pandas' evil twin, the divergence of analytics and ML architectures, and taking back the…
14
1
How two failure modes can sap the velocity of your data team.
17
3
Embracing the chaos, and why data job titles are so 2021.
12
Featuring guest author: Erica Louie! Also in this issue: the technical pay gap, phasing out the SQL interview and the impact of increasing gun violence.
21
Why "self-service" means four different things. Who owns data quality. The latest data libraries and helper functions. Modern data stack milestones.
14
Experimentation is a tool—one that I think our community overuses.
19
2
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?
18
1
Why we should refuse to choose one or the other and why civilization hangs in the balance.
21
1
Also in this issue: learning to navigate oceans, building for quality from the beginning, and why the biggest fallacy of metrics are also their biggest…
and
12
2