October 2023
Intermediate to advanced
636 pages
17h 2m
English
Content preview from Data Engineering with AWS - Second Edition
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7
Transforming Data to Optimize for Analytics
In previous chapters, we covered how to architect a data pipeline and common ways of ingesting data into a data lake. We now turn to the process of transforming raw data in order to optimize the data for analytics, enabling an organization to efficiently gain new insights into their data.
Transforming data to optimize for analytics and create value for an organization is one of the key tasks for a data engineer, and there are many different types of transformations. Some transformations are common and can be generically applied to a dataset, such as converting raw files to Parquet format and partitioning the dataset. Other transformations use business logic in the transformations and vary based ...
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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.