December 2023
Intermediate to advanced
228 pages
6h 1m
English
Content preview from Data Observability for Data Engineering
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6
Root Cause Analysis
Creating rules and expectations is one thing, as it allows you to detect any issues in your data, but troubleshooting is another.
An observed system should give you many clues and means to check the origin of the error, which will lead to efficient data issue resolution.
In a company, resources are key. The team’s time should be dedicated to value creation, not maintenance or troubleshooting under pressure. You need to know how to use the resources efficiently to avoid wasting time and, ultimately, money.
The best way to keep these costs under control is to evaluate them using key performance indicators (KPIs). Some interesting team or project metrics that you may like to follow include the mean time to detect and the mean ...
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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.
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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.