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Data Engineering with Google Cloud Platform

You're reading from   Data Engineering with Google Cloud Platform A practical guide to operationalizing scalable data analytics systems on GCP

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800561328
Length 440 pages
Edition 1st Edition
Languages
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Getting Started with Data Engineering with GCP
2. Chapter 1: Fundamentals of Data Engineering FREE CHAPTER 3. Chapter 2: Big Data Capabilities on GCP 4. Section 2: Building Solutions with GCP Components
5. Chapter 3: Building a Data Warehouse in BigQuery 6. Chapter 4: Building Orchestration for Batch Data Loading Using Cloud Composer 7. Chapter 5: Building a Data Lake Using Dataproc 8. Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow 9. Chapter 7: Visualizing Data for Making Data-Driven Decisions with Data Studio 10. Chapter 8: Building Machine Learning Solutions on Google Cloud Platform 11. Section 3: Key Strategies for Architecting Top-Notch Data Pipelines
12. Chapter 9: User and Project Management in GCP 13. Chapter 10: Cost Strategy in GCP 14. Chapter 11: CI/CD on Google Cloud Platform for Data Engineers 15. Chapter 12: Boosting Your Confidence as a Data Engineer 16. Other Books You May Enjoy

Exercise: Build data pipeline orchestration using Cloud Composer

We will continue our bike-sharing scenario from Chapter 3, Building a Data Warehouse in BigQuery.

This 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 create a BigQuery DAG.
  • Level 3: Learn how to use variables.
  • Level 4: Learn how to apply task idempotency.
  • Level 5: Learn how to handle late data.

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

In reality, you can choose to follow all of the best practices or none of them—Airflow won't forbid you from doing that. Using this leveling approach, you can learn step by step from the simplest to the most complicated...

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