SQL for CSV datasets | Pragmatic AI Solutions


SQL for CSV datasets | Pragmatic AI Solutions
English | Size: 136.87 MB
Genre: eLearning

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
Azure Databricks, Pandas, and Opendatasets
Free Azure Certification for Students
Learn Azure Databricks fundamentals
Try Azure for Free
Introduction to Azure Databricks

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