March 2024
Beginner
332 pages
9h 46m
English
book
Fundamentals of Analytics Engineering
by Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira
Content preview from Fundamentals of Analytics Engineering
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9
Data Quality and Observability
Have you ever wasted time or money because you made a decision based on incorrect data? Or because someone had a different definition of a key performance indicator (KPI)? If you have, you are familiar with the importance of data quality. In this chapter, we will cover not only the problem of data quality but also some solutions in the form of tools and techniques that can help you overcome this problem.
You will learn about three main areas of data quality: the potential data quality issues in source systems, the issues in infrastructure and pipelines when moving data between systems, and the issues related to data governance. You will also learn why data lineage and understanding the journey of your data as ...
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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.