pivot = df.pivot_table(values='sales', index='year', columns='country', aggfunc='sum') After you finish using SQL to query data in Python, you should close the connection to the database using the ...

In addition, different SQL dialects have different set of SQL keywords, further weakening sqllineage's capabilities when keyword used as table name or column name. To get the most out of sqllineage, ...

Observations in Spark DataFrame are organised under named columns, which helps Apache Spark to understand ... It has API support for different languages like Python, R, Scala, Java. Spark SQL provides ...

it's only an example, I'm only grabbing two columns in my python script. Someone mentioned turning this into a stored procedure..not sure if i want to do that. This is a 3rd party application's ...