May 2018
Beginner to intermediate
284 pages
5h 51m
English
book
Hands-On Data Warehousing with Azure Data Factory
by Christian Cote, Michelle Gutzait, Giuseppe Ciaburro
Content preview from Hands-On Data Warehousing with Azure Data Factory
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Prepare the data
After having imported the data, it is necessary to prepare it appropriately before executing any type of analysis (preprocessing). In fact, often in loading data, it may happen that some values are omitted (by mistake or because there are no observations). Any absence of values in columns and rows can distort the whole analysis. For this reason, it is necessary to clean up these missing values.
A missing value occurs when an unknown value is stored for the variable in an observation. Missing data is a common occurrence and can have a significant effect on the operations that can be done on the data.
The following are some of the main tasks in data preprocessing:
- Data cleaning: Filling missing values; detecting and removing ...
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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.