April 2022
Intermediate to advanced
312 pages
7h 6m
English
Content preview from Microsoft Power BI Performance Best Practices
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Chapter 12: High-Scale Patterns
In the previous chapter, we learned how to optimize DAX expressions. Having reached this point, we have rounded up all the advice on optimizing different layers of a Power BI solution, from the dataset layer to report design. In this chapter, we will take a step back and revisit architectural concepts and related features that help deal with very high data volumes.
The amount of data that organizations collect and need to analyze is increasing all the time. With the advent of the Internet of Things (IoT) and predictive analytics, certain industries, such as energy and resources, are collecting more data than ever. It is common for a modern mine or gas plant to have tens of thousands of sensors, each generating ...
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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.