Data Pipelines with Apache Airflow
Data Pipelines with Apache Airflow
paperback
Published:
7 June, 2021
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Description
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.
Key Features
Framework foundation and best practices
Airflow's execution and dependency system
Testing Airflow DAGs
Running Airflow in production
For data-savvy developers, DevOps and data engineers, and system
administrators with intermediate Python skills.
About the technology
Data pipelines are used to extract, transform and load data to and from multiple sources, routing it wherever it’s needed -- whether that’s visualisation tools, business intelligence dashboards, or machine learning models. Airflow streamlines the whole process, giving you one tool for programmatically developing and monitoring batch data pipelines, and integrating all the pieces you use in your data stack.
Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies including Heineken, Unilever, and Booking.com. Bas is a committer, and both Bas and Julian are active contributors to Apache Airflow.
More Details
| Type | Book |
|---|---|
| ISBN13 | 9781617296901 |
| ISBN10 | 1617296902 |
| Number Of Pages | 425 |
| Item Weight | 860 g |
| Product Dimensions | 186 x 234 x 28 mm |
| Publisher / Reseller | Manning Publications |
| Format | paperback |
GoodReads Reviews
Author's Bio
Bas Harenslak and Julian de Ruiter are data engineers with extensive experience using Airflow to develop pipelines for major companies including Heineken, Unilever, and Booking.com. Bas is a committer, and both Bas and Julian are active contributors to Apache Airflow.