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Avoiding Traps
How two failure modes can sap the velocity of your data team.
Tristan Handy
May 22
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Avoiding Traps
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Ep 27: "To Move, or Not to Move" (Data). That is the Question.
Diving into the possibilities of distributed query engines + the data mesh architecture with Justin Borgman of Trino / Starburst.
David Krevitt
May 20
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Ep 27: "To Move, or Not to Move" (Data). That is the Question.
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Constraints-driven data team design
Also in this issue: the definitive guide to measuring data quality; data team pay parity; evaluating the cost of complexity in data systems andā¦
Anna Filippova
May 15
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Constraints-driven data team design
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The response you deserve!
ā This is a hot take, written in the hours following reading Pedramās post for the first time. It hasnāt gone through ācorporate commsā (we donāt reallyā¦
Tristan Handy
May 13
17
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The response you deserve!
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Everpresent metadata. Thin semantic layers. Accessible data.
Strategy in the data platform layer. Data mesh. And lots lots more.
Tristan Handy
May 8
12
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Everpresent metadata. Thin semantic layers. Accessible data.
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Ep 26: Whatās the role of AI in BI?
What human-in-the-loop AI looks like in practice, with Amit Prakash of Thoughtspot.
David Krevitt
May 7
1
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Ep 26: Whatās the role of AI in BI?
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Data modeling for collaboration
Do any of us feel like we're doing this well? Also this week: making data actionable, the coordination challenge of large engineering teams and what aā¦
Anna Filippova
May 1
14
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Data modeling for collaboration
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Bring Back Scenario Analysis!
Why leaving behind spreadsheets made us forget how to ask "what if" questions.
Tristan Handy
Apr 24
19
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Bring Back Scenario Analysis!
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Ep 25: Automating Away your Work w/ Configuration-as-Code (w/ Sarah Krasnik)
Sarah's a huge fan of Terraform + other config-as-code methods, and maybe you should be too.
David Krevitt
Apr 22
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Ep 25: Automating Away your Work w/ Configuration-as-Code (w/ Sarah Krasnik)
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Data teams: embedded or centralized? Reactive or self-directed?
Why neither dichotomy is the right level of abstraction. Also in this issue: practitioner stories, how to retain customers, who are quantitative UXā¦
Anna Filippova
Apr 17
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Data teams: embedded or centralized? Reactive or self-directed?
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Macroeconomics and the data industry
A measured look at what the economy means for data practitioners.
Tristan Handy
Apr 10
15
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Macroeconomics and the data industry
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Ep 24: The Hard Problemsā¢ļø of Data Observability w/ Kevin Hu (Metaplane)
Data observability is really a mashup of many complex problems - how much of it can truly be automated? How much is just enough?
David Krevitt
Apr 8
1
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Ep 24: The Hard Problemsā¢ļø of Data Observability w/ Kevin Hu (Metaplane)
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