book

Learn PySpark: Build Python-based Machine Learning and Deep Learning Models

Name: Learn PySpark: Build Python-based Machine Learning and Deep Learning Models
Author: Pramod Singh
ISBN: 9781484249611

by Pramod Singh

September 2019

Intermediate to advanced

219 pages

English

Apress

Content preview from Learn PySpark: Build Python-based Machine Learning and Deep Learning Models

P. SinghLearn PySparkhttps://doi.org/10.1007/978-1-4842-4961-1_4

4. Airflow

Pramod Singh¹

(1)

Bangalore, Karnataka, India

This chapter focuses on introducing Airflow and how it can be used to handle complex data workflows. Airflow was developed in-house by Airbnb engineers, to manage internal workflows in an efficient manner. Airflow later went on to become part of Apache in 2016 and was made available to users as an open source. Basically, Airflow is a framework for executing, scheduling, distributing, and monitoring various jobs in which there can be multiple tasks that are either interdependent or independent of one another. Every job that is run using Airflow must be defined via a directed acyclic graph (DAG) definition file, ...

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