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Big Data on Kubernetes

You're reading from   Big Data on Kubernetes A practical guide to building efficient and scalable data solutions

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835462140
Length 296 pages
Edition 1st Edition
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Author (1):
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Neylson Crepalde Neylson Crepalde
Author Profile Icon Neylson Crepalde
Neylson Crepalde
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Docker and Kubernetes FREE CHAPTER
2. Chapter 1: Getting Started with Containers 3. Chapter 2: Kubernetes Architecture 4. Chapter 3: Getting Hands-On with Kubernetes 5. Part 2: Big Data Stack
6. Chapter 4: The Modern Data Stack 7. Chapter 5: Big Data Processing with Apache Spark 8. Chapter 6: Building Pipelines with Apache Airflow 9. Chapter 7: Apache Kafka for Real-Time Events and Data Ingestion 10. Part 3: Connecting It All Together
11. Chapter 8: Deploying the Big Data Stack on Kubernetes 12. Chapter 9: Data Consumption Layer 13. Chapter 10: Building a Big Data Pipeline on Kubernetes 14. Chapter 11: Generative AI on Kubernetes 15. Chapter 12: Where to Go from Here 16. Index 17. Other Books You May Enjoy

Getting started with Airflow

In this first section, we will get Apache Airflow up and running on our local machine using the Astro CLI. Astro makes it easy to install and manage Apache Airflow. We will also take a deep dive into the components that make up Airflow’s architecture.

Installing Airflow with Astro

Astro is a command-line interface provided by Astronomer that allows you to quickly install and run Apache Airflow. With Astro, we can quickly spin up a local Airflow environment. It abstracts away the complexity of manually installing all Airflow components.

Installing the Astro CLI is very straightforward. You can find instructions for its installation here: https://docs.astronomer.io/astro/cli/install-cli. Once installed, the first thing to do is to initiate a new Airflow project. In the terminal, run the following command:

astro dev init

This will create a folder structure for an Airflow project locally. Next, start up Airflow:

astro dev start

This...

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