The Analytics Engineering Roundup

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Robert's team at Airbnb built Minerva to track over 12,000(!) metrics and 4,000(!) dimensions with consistency. How'd they do it?
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Step with Venkat into a world where data is always fresh, queries run in 1ms, and analytics engineers build web-scale, real-time data apps.
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Erik wrote that we’re in for a “reorganization of the factory,” a shift in the way we build data products. What should be reorganized, and where will it…
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Can Tristan, Benn and David make any sense of this very open question?
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After listening to this episode, you’ll be rushing to implement a 'failure of the week' practice on your team.
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Julien has a unique history of building open frameworks that make data platforms interoperable. Why's he now turned his attention to data lineage…
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Dive with Brian into the world of experimentation at Stitch Fix, and learn how they execute experiments even with limited data.
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David is Sr. Director of Data at Lyst, and as leader of their analytics + data science teams he has followed the evolution of data roles closely over…
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Is the Modern Data Stack a real thing or just marketing buzz?
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Can streaming analytics allow analysts to facilitate better customer (like real, end customer) experiences?
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Give your brain a stretch, and imagine the possibilities of a Google Docs-style real-time collaborative workflow for data analysis projects.
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Data observability is really a mashup of many complex problems - how much of it can truly be automated? How much is just enough?
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