February 2024
Beginner to intermediate
340 pages
8h 19m
English
Content preview from Data Cleaning with Power BI
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11
M Query Optimization
In the previous chapter, you were introduced to custom functions, appropriate planning for functions, and also using the power of parameters within your functions. Across Power Query, there are a number of opportunities for you to express and code solutions with your knowledge of M code.
Like with any coding language, there are different ways in which you can write out your code, meaning there are often strategies and techniques that can help you achieve the optimum performance of your query. In this chapter, you will dive deep into four key tips for optimizing your M queries:
- Filtering and reducing the data you’re working on to improve performance, such as removing unnecessary data early in the query
- Recognizing when ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.