Listen free for 30 days

Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo + applicable taxes after 30 days. Cancel anytime.
Data Pipelines with Apache Airflow cover art

Data Pipelines with Apache Airflow

Written by: Julian de Ruiter, Bas Harenslak
Narrated by: Julie Brierley
Try for $0.00

$14.95 a month after 30 days. Cancel anytime.

Buy Now for $31.27

Buy Now for $31.27

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Tax where applicable.

Publisher's Summary

Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines.

Summary

A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, and keeping processes along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, this book teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.

About the Technology

Data pipelines manage the flow of data from initial collection through consolidation, cleaning, analysis, visualization, and more. Apache Airflow provides a single platform you can use to design, implement, monitor, and maintain your pipelines. It features easy-to-use UI, plug-and-play options, and flexible Python scripting.

About the Book

Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You’ll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline’s needs.

What's Inside

  • Build, test, and deploy Airflow pipelines as DAGs
  • Automate moving and transforming data
  • Analyze historical datasets using backfilling
  • Develop custom components
  • Set up Airflow in production environments

About the Audience

For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills.

About the Authors

Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies. Bas is also an Airflow committer.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2021 Manning Publications (P)2021 Manning Publications

What listeners say about Data Pipelines with Apache Airflow

Average Customer Ratings

Reviews - Please select the tabs below to change the source of reviews.