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Apache Airflow Best Practices
Apache Airflow Best Practices

Apache Airflow Best Practices: A practical guide to orchestrating data workflow with Apache Airflow

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Profile Icon Dylan Intorf Profile Icon Kendrick van Doorn Profile Icon Dylan Storey
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€8.99 €26.99
eBook Oct 2024 188 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€33.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Dylan Intorf Profile Icon Kendrick van Doorn Profile Icon Dylan Storey
Arrow right icon
€8.99 €26.99
eBook Oct 2024 188 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€33.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €26.99
Paperback
€33.99
Subscription
Free Trial
Renews at €18.99p/m

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Apache Airflow Best Practices

Part 1: Apache Airflow: History, What, and Why

This part has the following chapters:

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Key benefits

  • Understand the steps for migrating from Airflow 1.x to 2.x and explore the new features and improvements in version 2.x
  • Learn Apache Airflow workflow authoring through real-world use cases
  • Uncover strategies to operationalize your Airflow instance and pipelines for resilient operations and high throughput
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Data professionals face the monumental task of managing complex data pipelines, orchestrating workflows across diverse systems, and ensuring scalable, reliable data processing. This definitive guide to mastering Apache Airflow, written by experts in engineering, data strategy, and problem-solving across tech, financial, and life sciences industries, is your key to overcoming these challenges. It covers everything from the basics of Airflow and its core components to advanced topics such as custom plugin development, multi-tenancy, and cloud deployment. Starting with an introduction to data orchestration and the significant updates in Apache Airflow 2.0, this book takes you through the essentials of DAG authoring, managing Airflow components, and connecting to external data sources. Through real-world use cases, you’ll gain practical insights into implementing ETL pipelines and machine learning workflows in your environment. You’ll also learn how to deploy Airflow in cloud environments, tackle operational considerations for scaling, and apply best practices for CI/CD and monitoring. By the end of this book, you’ll be proficient in operating and using Apache Airflow, authoring high-quality workflows in Python for your specific use cases, and making informed decisions crucial for production-ready implementation.

Who is this book for?

This book is for data engineers, developers, IT professionals, and data scientists who want to optimize workflow orchestration with Apache Airflow. It's perfect for those who recognize Airflow’s potential and want to avoid common implementation pitfalls. Whether you’re new to data, an experienced professional, or a manager seeking insights, this guide will support you. A functional understanding of Python, some business experience, and basic DevOps skills are helpful. While prior experience with Airflow is not required, it is beneficial.

What you will learn

  • Explore the new features and improvements in Apache Airflow 2.0
  • Design and build data pipelines using DAGs
  • Implement ETL pipelines, ML workflows, and other advanced use cases
  • Develop and deploy custom plugins and UI extensions
  • Deploy and manage Apache Airflow in cloud environments such as AWS, GCP, and Azure
  • Describe a path for the scaling of your environment over time
  • Apply best practices for monitoring and maintaining Airflow

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2024
Length: 188 pages
Edition : 1st
Language : English
ISBN-13 : 9781805129332
Vendor :
Apache
Category :
Languages :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Oct 31, 2024
Length: 188 pages
Edition : 1st
Language : English
ISBN-13 : 9781805129332
Vendor :
Apache
Category :
Languages :

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Table of Contents

19 Chapters
Part 1: Apache Airflow: History, What, and Why Chevron down icon Chevron up icon
Chapter 1: Getting Started with Airflow 2.0 Chevron down icon Chevron up icon
Chapter 2: Core Airflow Concepts Chevron down icon Chevron up icon
Part 2: Airflow Basics Chevron down icon Chevron up icon
Chapter 3: Components of Airflow Chevron down icon Chevron up icon
Chapter 4: Basics of Airflow and DAG Authoring Chevron down icon Chevron up icon
Part 3: Common Use Cases Chevron down icon Chevron up icon
Chapter 5: Connecting to External Sources Chevron down icon Chevron up icon
Chapter 6: Extending Functionality with UI Plugins Chevron down icon Chevron up icon
Chapter 7: Writing and Distributing Custom Providers Chevron down icon Chevron up icon
Chapter 8: Orchestrating a Machine Learning Workflow Chevron down icon Chevron up icon
Chapter 9: Using Airflow as a Driving Service Chevron down icon Chevron up icon
Part 4: Scale with Your Deployed Instance Chevron down icon Chevron up icon
Chapter 10: Airflow Ops: Development and Deployment Chevron down icon Chevron up icon
Chapter 11: Airflow Ops Best Practices: Observation and Monitoring Chevron down icon Chevron up icon
Chapter 12: Multi-Tenancy in Airflow Chevron down icon Chevron up icon
Chapter 13: Migrating Airflow Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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