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Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications
book

Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications

by Scott Haines
March 2022
Beginner to intermediate
595 pages
12h 53m
English
Apress
Content preview from Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
S. HainesModern Data Engineering with Apache Sparkhttps://doi.org/10.1007/978-1-4842-7452-1_8

8. Workflow Orchestration with Apache Airflow

Scott Haines1  
(1)
San Jose, CA, USA
 

Generally speaking, there are two kinds of problems you’ll find yourself running into more often than not as a data engineer. The first stems from broken promises, aka bad upstream data sources, and the more general realm of the unknown unknowns with respect to data movement through your data pipelines. The second problem you’ll find yourself up against is time. This is not the part in the book where I start to talk to you about life, death, and decision making, but rather time as a ...

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Publisher Resources

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