A single query to the AI software ChatGPT consumes as much electricity as roughly one second of baking something in an oven, according to the developer OpenAI. Meanwhile the water consumption from ...

Sam Altman said the average ChatGPT query consumes about one-fifteenth of a teaspoon of water. This is on top of the 0.34 watt-hours of electricity needed to power the chatbot.

Streamline Your Workflow with Power Query Power Query provides a robust and flexible approach to combining and transforming data from multiple Excel sheets into a single, structured dataset.

You can use SQL to create, modify, search, and display database information. Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements.

The trick is to use Profiler and the M Data Provider Events/Execute Source Query event. To demonstrate this I created a DirectQuery semantic model in Power BI Desktop using Snowflake as a source.

Get started with BigQuery for content analysis using Google Search Console data. Tips, tricks, best practices, and queries are provided.

Power Query transformations can assist in splitting data into rows, based on various factors such as delimiter, text patterns, and data types.

Using SQL queries means you get a neat table. You don’t need to understand the ins and outs of SQL to make the best use of BigQuery. This query is courtesy of Chris Green.

I am doing a simple select statement to pull data from a table with one of the column having a pretty long json entry. When I run this query in VScode, that particular column return and empty cell ("[ ...