Fredrik Ljunggren (it / that)
593 posts

Fredrik Ljunggren (it / that)
@cfmj
Data plumber. Trying to keep up and evolve. @[email protected]
Lund, Sweden شامل ہوئے Temmuz 2009
0 فالونگ85 فالوورز

@mim_djo What about Daft? Today was the first time I heard about it.
delta.io/blog/daft-delt…
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Clash of the CSV #Polars vs #DuckDB
The Duck is just too fast, but more seriously, just don't use Pandas 🙃😛
github.com/djouallah/Ligh…
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@mim_djo So this means you can have deltatable as source and target in dbt, using duckdb as engine?
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@matsonj Very much so. We're taking on 2 "tech talents" this summer, through a consultancy firm. They will stay for a year and rotate through our data stack. Hopefully they find their passion and talent somewhere.
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@matsonj @powerbottomdad1 What? Double doubles doubles and animal fries? I've been to Las Vegas twice because of in-n-out.
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@mim_djo @JoshCaplan1984 I read that as "blob house" and immediately thought there is a new warehouse concept I've totally missed. Anyway, is anyone developing a blob house?
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@JoshCaplan1984 I am still at stage 1, writing from Fabric notebook to the local blobfuse
github.com/delta-io/delta…
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write to #Fabric #Onelake failed, someone opened a new bug report, @JoshCaplan1984 see I am not the only one
github.com/delta-io/delta…
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@ArynnPost "so whenever i get an environment conflict, i just delete my VM and start over"
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@matsonj Removing the output from analytic_v2_bak34.ipynb
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@pdrmnvd No, more like chimney cake I guess. But they seem very similar.
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@pdrmnvd Funnel cakes, like Hungarian funnel cakes? Kurtös kalacs?
Svenska

@matsonj @ArynnPost So synapse is a wrapper for data factory, data lake, sql pools etc, and fabric is a wrapper for synapse, powerbi, git?
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@ArynnPost the big win here is Fabric™️ though, which is sort of hard to wrap my brain around
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@matsonj @ArynnPost What's even worse, can't ask chatGPT to explain Fabric like I'm 10.
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@FaisalMaqbool94 I might need to clarify that the code tests is for an interview for data engineering role. 😁
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@cfmj raw/base getting filled by ingested tools or scripts. Then dbt-audit or apply all the tests from base to staging to production. All kinds of tests, missing data, freshness, fields mapping and the list goes on. And, run tests based on requirements, hourly etc. maybe ?
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