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Data Engineering with Google Cloud Platform - Second Edition

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

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Pages 476 pages
Edition 2nd Edition
Languages
Author (1):
Adi Wijaya Adi Wijaya
Profile icon Adi Wijaya

Table of Contents (19) Chapters

Preface 1. Part 1: Getting Started with Data Engineering with GCP
2. Chapter 1: Fundamentals of Data Engineering 3. Chapter 2: Big Data Capabilities on GCP 4. Part 2: Build Solutions with GCP Components
5. Chapter 3: Building a Data Warehouse in BigQuery 6. Chapter 4: Building Workflows 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 to Make Data-Driven Decisions with Looker Studio 10. Chapter 8: Building Machine Learning Solutions on GCP 11. Part 3: Key Strategies for Architecting Top-Notch Solutions
12. Chapter 9: User and Project Management in GCP 13. Chapter 10: Data Governance in GCP 14. Chapter 11: Cost Strategy in GCP 15. Chapter 12: CI/CD on GCP for Data Engineers 16. Chapter 13: Boosting Your Confidence as a Data Engineer 17. Index 18. Other Books You May Enjoy

Cloud Composer 1 vs Cloud Composer 2

Currently, there are two main Cloud Composer versions, Cloud Composer 1 and Composer 2. Don’t be mistaken for the Airflow version, Airflow also has their versioning from the open-source. For example, currently, the latest Airflow version is 2.5.3.

What is the main difference between the two major Cloud Composer versions? There are some aspects that make Cloud Composer 1 and 2 different. But one of the most significant aspects is how the Airflow managed service works. In Cloud Composer 1, the number of Airflow workers is pre-defined for each environment. Cloud Composer 2 introduces the auto-scaling capability for the number of Airflow workers.

For example, in Cloud Composer 1, you need to choose the number of workers when you create the environment, let’s say three workers. This environment will always occupy three virtual machines for the environment, with or without workloads running on top of it. In other cases, if there are...

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