January 2024
Intermediate to advanced
300 pages
6h 36m
English
Content preview from Data Engineering with Scala and Spark
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11
Performance Tuning
In the world of big data processing, Apache Spark has emerged as a powerful and versatile framework. Its ability to handle large-scale data processing tasks, coupled with its speed and ease of use, has made it a favorite among data engineers and analysts. However, as data volumes grow and processing demands become more complex, ensuring optimal performance becomes paramount. The Spark user interface (UI) plays a crucial role in this pursuit, offering insights and metrics that can guide performance tuning efforts by helping to identify undersized or oversized compute and issues with data.
In this chapter, we will delve into the intricacies of the Spark UI and explore how it can be leveraged to fine-tune the performance of ...
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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.