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Merge pull request #173 from manikanta-hitunik-com/patch-359784
Update 491-duckdb-and-python-ducks-and-snakes-living-together.txt
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transcripts/491-duckdb-and-python-ducks-and-snakes-living-together.txt

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00:21:04 Oh, wow.
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00:21:04 There's a community extension to read BigQuery.
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00:21:04 There's a community extension to read Big Query.
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00:21:06 So it's really a universal Swiss Army knife in a lot of ways to read from those operational data stores, but to do those analytical tasks.
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00:27:42 So one key note, if folks really know a lot about SQLite, one of the defining characteristics of it is that it is very much non-typed as much as possible.
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00:27:50 VectDB is very much more traditional in that it does have typing.
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00:27:50 Vector DB is very much more traditional in that it does have typing.
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00:27:55 It does take full advantage of having nice numeric data types, date times that are true date times, not strings.
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00:28:46 It's worse than that.
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00:28:49 But DuckTB is okay and ready to handle it and making it easy.
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00:28:49 But DuckDB is okay and ready to handle it and making it easy.
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00:28:54 Because it really aligns with the DuckTB ethos, which is a database shouldn't be extra work.
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00:28:54 Because it really aligns with the DuckDB ethos, which is a database shouldn't be extra work.
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00:28:58 It should be saving you work.
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00:41:08 So AWS, Google, Azure, you can read individual files or actually it'll understand hierarchies of files.
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00:41:15 So if you have like a top level folder for a year and a folder for month and day, if you filter for I only want three days worth of data, DuckTB will only read three files.
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00:41:15 So if you have like a top level folder for a year and a folder for month and day, if you filter for I only want three days worth of data, DuckDB will only read three files.
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00:41:24 So it's pretty slick.
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00:48:57 All right.
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00:48:57 You gotta have fun with it.
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00:48:57 You got to have fun with it.
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00:48:59 Right.
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00:49:38 And the reason for that is you no longer need 50 servers to answer your questions.
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00:49:43 It turns out laptops are pretty daggone fast now.
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00:49:43 It turns out laptops are pretty Dagon fast now.
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00:49:45 Yeah.
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01:01:39 Now get out there and write some Python code.
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01:01:41 You You you you Thank you.
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01:01:41 You Thank you.

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