The Modern Data Stack needs to coalesce around standards beyond SQL to solve the practitioner problems of today.
4
Lessons from a new discipline
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2
Plus: Steampipe. How data creates value. Non-binary truth states (!?). More.
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Listen & subscribe from: Spotify Apple Podcasts Google Podcasts Stitcher TuneIn RSS feed Key points from Katie in this episode: Why do you think data…
Also in this issue: why human in the loop is the best ML model metric, how consumption product pricing gets overcomplicated and how to properly dogfood…
10
As Head of Analytics at Clearbit, Julie serves as a data team of one in a 200+ person company (wow!). In this conversation with Tristan and Julia, Julie…
8
The MDS is too tightly-coupled; we need cleaner interfaces and expectations between subsystems.
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Whose job is it to convince the organization to make decisions based on data? Spoiler: it's not the analyst!
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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
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Flipping the vision for "data apps" on its head: what if, instead of having data run round trips to a cloud data warehouse, we just bring the user's…
3
Experimentation is a tool—one that I think our community overuses.
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What even *is* a data platform? Is it time yet for analysts to build ML models?