January 2024
Intermediate to advanced
300 pages
6h 36m
English
Content preview from Data Engineering with Scala and Spark
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7
Data Profiling and Data Quality
As we work with multiple sources of data, it is quite easy for some bad data to pass through if there are no checks in place. This can lead to serious issues in downstream systems that rely on the accuracy of upstream data to build models, run business-critical applications, and so on. To make our data pipelines resilient, it is imperative that we have data quality checks in place to ensure the data being processed meets the requirements imposed by both business as well as downstream applications.
Six primary data quality dimensions can be measured individually and used to improve the data quality:
- Completeness: Does your customer dataset that you plan to use for an upcoming marketing campaign have all of the ...
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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.