Power BI - Performing Data Quality Checks Using Python & SQL
Friday, Aug 16
8:30 AM - 9:30 AM
Room 101
Description
Picture this, you have a report in Power BI that someone passes off to you for data quality checks. Simple enough until they clarify they need every measure checked against the source database.
There are a few ways to make sure the measures match what is in the source data system, but you need something easily repeatable and self documenting. In this presentation, I will walk through how to use python and excel to perform our data quality checks in one batch and document any differences. In order to do that, we are going to build a python script that can run Power BI REST APIs, connect to a SQL Server, and read/write to Excel.
By the end of this session, attendees will have a plug and play tool to check data from SQL against Power BI.
There are a few ways to make sure the measures match what is in the source data system, but you need something easily repeatable and self documenting. In this presentation, I will walk through how to use python and excel to perform our data quality checks in one batch and document any differences. In order to do that, we are going to build a python script that can run Power BI REST APIs, connect to a SQL Server, and read/write to Excel.
By the end of this session, attendees will have a plug and play tool to check data from SQL against Power BI.
