Learn how to use SQL queries to access and analyze data from different sources, calculate and compare KPIs, drill down into root causes and solutions, and visualize your supply chain data.

Learn how to use SQL to query data in Python for data acquisition using tools and libraries like sqlite3, pandas, and more. Connect to a database, execute SQL queries, and manipulate data in Python.

Here’s something that will Blow Your Mind if you’re a Power Query/M fan. Did you know that there’s a way you can get query folding to work if you’re using a native SQL query on SQL Server or Postgres ...

Ok, I'm trying to write a query in a stored procedure in SQL Server 2000. Because some of the parts of the query vary based on certain situations I construct a string that contains the query and ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and ...

Microsoft has just added support for query hints to Azure SQL Database, giving database administrators a powerful tool to manage the performance of ISV application code. Here's how it works.

README Text to SQL Query Using Hugging Face's LLAMA This project is an application that leverages Hugging Face's LLAMA, a state-of-the-art language model, to convert natural language text into ...

Text-to-SQL App This is App which converts natural language questions into SQL queries and retrieves data from a database. Users can upload their own SQLite database or use a sample database.

When a PROC SQL view is created from a Pass-Through query, the query's DBMS connection information is stored with the view. Therefore, when you reference the PROC SQL view in a SAS program, you ...

SQL and Pandas are the two different tools that have a great role to play when handling the data. These are not only the basic tools for any data-related tasks, but also they are very easy to use and ...