From the course: Rust for Data Engineering
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Exploring data with BigQuery - Rust Tutorial
From the course: Rust for Data Engineering
Exploring data with BigQuery
- [Instructor] One of the more powerful tools on the Google Cloud platform to explore data is BigQuery. If we take a look at this overview here we see that you could compose a new query, add some data even upload a local file. So there's a lot of easy ways to get started but probably one of the most powerful is to use the public dataset. So if we go ahead and we take a look at a existing Google Trends dataset here this is a great way to dive into understanding how to use a particular dataset. The first thing that I typically will do is look at you know, what the metadata is about this particular dataset you can see it was last modified September 20th, 2022. And this is a Google Trends dataset. Now, if I wanted to go ahead and query it a good way to do that is to go to the toggle node and you can see the different sections of this particular dataset. And in particular let's say I wanted to look at some top terms, right?…
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Selecting the correct database on GCP3m 46s
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Rust SQLite Hugging Face zero-shot classification9m 55s
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Prompt engineering for BigQuery9m 20s
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BigQuery to Colab pipeline5m 32s
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Exploring data with BigQuery12m 36s
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Using public data sets for data science1m 44s
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Querying log files with BigQuery3m 49s
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There is no one-size database1m 44s
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Course conclusion1m 24s
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