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Details for:
Harenslak B. Data Pipelines with Apache Airflow 2021
harenslak b data pipelines apache airflow 2021
Type:
E-books
Files:
2
Size:
21.6 MB
Uploaded On:
May 13, 2021, 3:08 p.m.
Added By:
andryold1
Seeders:
5
Leechers:
0
Info Hash:
7DEEADFF6F0610E58F7A1F121B2509F4ED770820
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Textbook in PDF format 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. Getting Started Meet Apache Airflow Anatomy of an Airflow DAG Scheduling in Airflow Templating tasks using the Airflow context Defining dependencies between tasks Beyond the Basics Triggering workflows Communicating with external systems Building custom components Testing Running tasks in containers Airflow in Practice Best practices Operating Airflow in production Securing Airflow Project: Finding the fastest way to get around NYC In the Clouds Airflow in the clouds Airflow on AWS Airflow on Azure Airflow in GCP Appendixes Running code samples Package structures Airflow 1 and 2 Prometheus metric mapping
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Code.zip
219.5 KB
Harenslak B. Data Pipelines with Apache Airflow 2021.pdf
21.4 MB
