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Power Query Optimization: Reducing Decimal Numbers

Power Query Optimization: Reducing Decimal Numbers

If you're dealing with large amounts of data in Power Query and want to optimize its performance, this tutorial is for you. Here, you'll learn a technique to reduce the numbers stored after a decimal place, which can help reduce RAM usage when dealing with decimal number formats. The tutorial includes an example where the Net Price column consumes 11MB of RAM, while the Total Cost, Unit Cost, and Unit Price each consume 8MB. By reducing the number of decimal places stored in the Net Price column, you can optimize memory usage and improve the performance of your Power Query operations.

The tutorial goes on to explain the steps involved in reducing decimal numbers, including creating a custom column that rounds the numbers to the desired number of decimal places and replacing the original column with the new one. By following the steps outlined in this tutorial, you can optimize the performance of your Power Query operations and work more efficiently with large datasets.

If you're looking to improve your Power Query skills, this tutorial is a must-read. Whether you're a seasoned data analyst or just getting started with Power Query, the techniques covered in this tutorial can help you work smarter, not harder.

You can read the full tutorial on Enterprise DNA.

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