November 2023
Beginner to intermediate
496 pages
14h 25m
English
Content preview from The Enterprise Big Data Framework
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Data Cleaning and Wrangling
22.1 Introduction to data cleaning and wrangling
Even with the best and most sophisticated algorithm in the world, the outcome of any analysis will be worthless if the input data is incorrect, skewed or otherwise invalid. In Big Data, the old saying of garbage in, garbage out is very appropriate. In Big Data environments, the volumes of data are large, and so is the possibility for mistakes.
Most Big Data sets contain data that is duplicate, erroneous or even plain missing. Frequently, data sets have been built up over years and years, during which time fields in databases have changed, were renamed or simply ignored. As a result, most organizations have databases and data sets that are far from perfect in terms ...
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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.