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Data Engineering with Google Cloud Platform

You're reading from  Data Engineering with Google Cloud Platform

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781800561328
Pages 440 pages
Edition 1st Edition
Languages
Author (1):
Adi Wijaya Adi Wijaya
Profile icon Adi Wijaya

Table of Contents (17) Chapters

Preface 1. Section 1: Getting Started with Data Engineering with GCP
2. Chapter 1: Fundamentals of Data Engineering 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

Chapter 2: Big Data Capabilities on GCP

One of the most common scenarios when people start using Google Cloud Platform or GCP is getting lost because there are too many products and services. GCP offers a very broad range of services for multiple disciplines, for example, for application development, microservices, security, AI, and of course, one of them is Big Data. But even for big data products, there are multiple options that you can choose. 

As an analogy, GCP is like a supermarket. A supermarket has almost everything that you need to support your daily life. For example, if you plan to cook pasta and go to a supermarket to buy the ingredients, no one will tell you what ingredients you should buy, or even if you know the ingredients, you will still be offered the ingredients by different brands, price tags, and producers. If you fail to make the right decision, you will end up cooking bad pasta. In GCP it's the same; you need to be able to choose your own services...

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