January 2024
Intermediate to advanced
300 pages
6h 36m
English
Content preview from Data Engineering with Scala and Spark
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10
Data Pipeline Orchestration
Once you have defined the business logic and transformations on your data, you need a reliable way to stitch them all together. If there is a failure, you should be notified and be able to easily identify the tasks that failed before you analyze them. This is where data pipeline orchestration comes in. It refers to the coordination and management of tasks in data transformation through well-defined dependencies between them. There are many business reasons for orchestration, but consider the following simple example. You need a report delivered daily and you need to process the data for that report each day. This requires orchestration.
In this chapter, we are going to look at some of the most common tools and ...
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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.