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one-random-geek

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1 points·by one-random-geek·18 dni temu·0 comments

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1 points·by one-random-geek·2 miesiące temu·0 comments

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1 points·by one-random-geek·2 miesiące temu·0 comments

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1 points·by one-random-geek·2 miesiące temu·0 comments

Dbt Meets High-Performance Analytics: The Exasol and Dbt Integration

exasol.com
2 points·by one-random-geek·3 miesiące temu·0 comments

Why are so many logs written for machines instead of humans?

github.com
2 points·by one-random-geek·3 miesiące temu·2 comments

We built a VS Code extension for reproducible SQL workflows

marketplace.visualstudio.com
5 points·by one-random-geek·3 miesiące temu·1 comments

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1 points·by one-random-geek·6 miesięcy temu·0 comments

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1 points·by one-random-geek·8 miesięcy temu·0 comments

Generative AI in Data Analytics

exasol.com
1 points·by one-random-geek·8 miesięcy temu·0 comments

AI for Data Analytics – Everything you need to know

exasol.com
1 points·by one-random-geek·8 miesięcy temu·0 comments

Exasol Outperforms ClickHouse by 10x on TPC-H Analytical Benchmark

exasol.com
3 points·by one-random-geek·8 miesięcy temu·0 comments

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1 points·by one-random-geek·8 miesięcy temu·0 comments

comments

one-random-geek
·3 miesiące temu·discuss
Hi folks! So, I’ve been thinking about log messages lately. And, honestly most of them in my opinion feel like system noise instead of something a human can act on. Like, half the time it’s a stack trace, an error code, or “something went wrong,” which doesn’t help anyone. At work, I was discussing what “human‑friendly” logging should look like with my team, and someone wrote up a short guideline about writing clearer, more actionable messages (disclosure: I work at this company). I found it useful, so sharing in case others like this kind of thing.

Curious how others approach this. There are some other good reads as well in this repo, do check out!
one-random-geek
·3 miesiące temu·discuss
We’ve been experimenting with a more reproducible and narrative SQL workflow inside VS Code, and ended up building a SQL Notebook feature into our extension. It mixes SQL queries, Markdown, and results, and it stores everything in a single .exabook file.

https://github.com/exasol-labs/exasol-vscode

The motivation was mostly practical: teams were writing SQL in one tool, explaining it in another, and sharing screenshots elsewhere. Nothing was reproducible, versionable, or reviewable. So we merged those ideas into one workflow that fits naturally inside VS Code.

Would love feedback, especially on:

- the notebook format - whether the UX feels natural or awkward - limitations we might not be seeing where this fits (or doesn’t fit) in a typical SQL workflow
one-random-geek
·8 miesięcy temu·discuss
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