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Google Cloud Digital Leader Certification Guide

You're reading from   Google Cloud Digital Leader Certification Guide A comprehensive study guide to Google Cloud concepts and technologies

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805129615
Length 210 pages
Edition 1st Edition
Languages
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Author (1):
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Bruno Beraldo Rodrigues Bruno Beraldo Rodrigues
Author Profile Icon Bruno Beraldo Rodrigues
Bruno Beraldo Rodrigues
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Introduction to Digital Transformation with Google Cloud
2. Chapter 1: Cloud Computing Fundamentals – An Introduction to Digital Transformation FREE CHAPTER 3. Chapter 2: The Shift to Public Cloud 4. Chapter 3: Understanding the Different Cloud Computing Models 5. Part 2:Innovating with Data and Google Cloud
6. Chapter 4: The Role of Data in Digital Transformation 7. Chapter 5: Google Cloud Solutions for Data Management 8. Chapter 6: Machine Learning and Artificial Intelligence on Google Cloud 9. Part 3:Infrastructure and Platform Modernization
10. Chapter 7: Modernizing IT Infrastructure with Google Cloud 11. Chapter 8: Modernizing Applications with Google Cloud 12. Chapter 9: The Value of APIs 13. Part 4:Understanding Google Cloud Security and Operations
14. Chapter 10: Google Cloud’s Approach to Security 15. Chapter 11: IT Operations in the Cloud 16. Chapter 12: Resource Monitoring and Application Performance Management on Google Cloud 17. Part 5:Practice Exam Questions
18. Chapter 13: Sample Questions: Exam Preparation 19. Index 20. Other Books You May Enjoy

Elaborating on Google Cloud solutions for data management

In this section of the chapter, we will review each of the first-party and Google-managed open source offerings available on Google Cloud. We will provide a brief description of each service while highlighting the use case and comparative solutions or potential competitors. We’ll start with the data pipeline services, covering ingestion and transformation, before covering data lakes, datastores, and beyond.

The following diagram highlights a high-level overview of Google Cloud-native data analytics pipeline leveraging exclusively first-party or Google-managed open source technologies:

Figure 5.1 – Mature data pipeline in Google Cloud (source: https://storage.googleapis.com/gweb-cloudblog-publish/images/Data_Analytics_Pipeline_on_Google_CLoud.max-1500x1500.png)

Figure 5.1 – Mature data pipeline in Google Cloud (source: https://storage.googleapis.com/gweb-cloudblog-publish/images/Data_Analytics_Pipeline_on_Google_CLoud.max-1500x1500.png)

We’ll start on the left side, covering ingestion through to transformation, before finishing with data warehousing...

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