The Analytics Engineering Roundup

The Analytics Engineering Roundup

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Macroeconomics and the data industry
A measured look at what the economy means for data practitioners.
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Tristan Handy
Is the "Modern Data Stack" Still a Useful Idea?
My vote: no.
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Tristan Handy
24
The Roundup roundup: 2022 Edition
We linked, you clicked!
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Anna Filippova
How AI will Disrupt BI As We Know It
A continuation-in-spirit from my recent post “How AI will Disrupt Data Engineering As We Know It.”
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Tristan Handy
5
Becoming an impact-oriented data team
Also: metrics playbooks, user journeys, the state of data testing, what new year resolutions have to do with OKRs and some cheerful data!
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Anna Filippova
Semantic Layer as the Data Interface for LLMs
A new benchmark for natural language questions against databases dropped last week. What does it mean and how does the dbt Semantic Layer stack up?
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Jason Ganz
16
How to build a resilient DAG
Managing data complexity with orchestration that happens at the rhythm of your business
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Anna Filippova
2
Three missions for the Community
Where we go from here
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Jason Ganz
1
How AI will Disrupt Data Engineering As We Know It
It will be hard to compare data engineering in 2024 and data engineering in 2028 and say “those are the same things.”
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Tristan Handy
4
It is time to take agentic workflows for data work seriously
Mission: 0 to semantic layer in two hours
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Jason Ganz
7
Bring Back Scenario Analysis!
Why leaving behind spreadsheets made us forget how to ask "what if" questions.
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Tristan Handy
8
Our Biggest Launch Event Yet.
May 14th saw us announce a ton of new capabilities and provides a window into the future.
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Tristan Handy
4
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