You're reading from Data Engineering with Google Cloud Platform - Second Edition

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Published inApr 2024

PublisherPackt

ISBN-139781835080115

Edition2nd Edition

Concepts

Data Engineering

Author (1)

Adi Wijaya

Exercise – build data pipeline orchestration using Cloud Composer

We will continue our bike-sharing scenario from Chapter 3, Building a Data Warehouse in BigQuery. Please finish Chapter 3 before going through this exercise.

This Cloud Composer exercise will be divided into five different DAG levels. Each DAG level will have specific learning objectives, as follows:

Level 1: Learn how to create a DAG and submit it to Cloud Composer
Level 2: Learn how to use operators
Level 3: Learn how to use variables
Level 4: Learn how to apply task idempotency
Level 5: Handling DAG dependencies using an Airflow dataset

It’s important for you to understand that learning Airflow is as easy as Level 1 DAG. But as we go through each of the levels, you will see the challenges and opportunities we may have in practicing it.

In reality, you can choose to follow all of the best practices or none at all—Airflow won’t forbid you from doing that...

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Data Engineering with Google Cloud Platform - Second Edition

Published in: Apr 2024Publisher: PacktISBN-13: 9781835080115

Author (1)

Adi Wijaya

Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.
Read more about Adi Wijaya

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You're reading from Data Engineering with Google Cloud Platform - Second Edition

Exercise – build data pipeline orchestration using Cloud Composer

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