November 2023
Beginner
196 pages
5h 5m
English
Content preview from Cracking the Data Engineering Interview
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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.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.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.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.
10
Data Processing and ETL
Navigating the intricacies of data engineering roles requires an in-depth understanding of data processing and Extract, Transform, and Load (ETL) processes. Not only do these foundational skills form the foundation upon which data pipelines are constructed but they are also integral components of the data engineering interview landscape. Therefore, mastering them is a prerequisite for anyone seeking success in data engineering roles. In this chapter, we will delve into the nitty-gritty details of implementing ETL processes, examine the various paradigms of data processing, and guide you on how to prepare for technical data engineering interview questions. This chapter aims to equip you with the knowledge and skills ...
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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.