November 2023
Beginner to intermediate
264 pages
6h 49m
English
Content preview from Data Exploration and Preparation with BigQuery
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9
Cleansing and Transforming Data
Data engineers and analysts can spend massive amounts of time transforming, cleaning, and preparing data. They know it is not possible to generate accurate reporting and models with corrupted or incomplete data. With the variability of systems reports, you will likely encounter datasets that need to be manipulated in your future as a data analyst. In this chapter, we will dive deeper into data preparation. We will focus on cleansing and transforming data and provide you with approaches, strategies, and repeatable code and guidance that will help you improve the quality of your data in BigQuery.
Cleansing and transforming data can be done at various times in the data life cycle. Also known as data pre-processing, ...
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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.