Data Pipelines with Apache Airflow

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Data Pipelines with Apache Airflow

Bas P. Harenslak (Author), Julian Rutger de Ruiter (Author)

ISBN10: 1617296902

ISBN13: 978-1617296901

Data Pipelines with Apache Airflow

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title Data Pipelines with Apache Airflow
authors Bas P. Harenslak
publisher Manning Publications
publishedDate 2020-11-24
description Data Pipelines with Apache Airflow teaches you the ins-and-outs of the Directed Acyclic Graphs (DAGs) that power Airflow, and how to write your own DAGs to meet the needs of your projects. With complete coverage of both foundational and lesser-known features, when you’re done you’ll be set to start using Airflow for seamless data pipeline development and management. Pipelines can be challenging to manage, especially when your data has to flow through a collection of application components, servers, and cloud services. Airflow lets you schedule, restart, and backfill pipelines, and its easy-to-use UI and workflows with Python scripting has users praising its incredible flexibility. Data Pipelines with Apache Airflow takes you through best practices for creating pipelines for multiple tasks, including data lakes, cloud deployments, and data science. Data Pipelines with Apache Airflow teaches you the ins-and-outs of the Directed Acyclic Graphs (DAGs) that power Airflow, and how to write your own DAGs to meet the needs of your projects. With complete coverage of both foundational and lesser-known features, when you’re done you’ll be set to start using Airflow for seamless data pipeline development and management. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
pageCount 325
printType BOOK
categories Computers
maturityRating NOT_MATURE
panelizationSummary
language en
canonicalVolumeLink https://books.google.com/books/about/Data_Pipelines_with_Apache_Airflow.html?hl=&id=S8eWzQEACAAJ

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