Pragmatic Ai – SQL for CSV Datasets

Pragmatic Ai – SQL for CSV Datasets-iLLiTERATE
English | Tutorial | Size: 136.87 MB

Execute SQL with CSV datasets

SQL is usually reserved for interacting with databases but in this video I show how you can use Databricks to run SQL queries against a CSV dataset. There are a few defaults that can make working with a CSV dataset problematic, like disabled schema infering and no headers. These are crucial when running SQL against the CSV since the defaults will treat every single value as a string. Although this video uses Azure Databricks, the same concepts should apply to any Databricks cluster.

In this video you will learn:

Uploading a CSV dataset to Databricks
Create a Notebook to work with the CSV dataset
Find potential pitfalls in default options for CSV and SQL

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