You're reading from The Self-Taught Cloud Computing Engineer A comprehensive professional study guide to AWS, Azure, and GCP

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781805123705

Length 472 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Author (1):

Dr. Logan Song

View More author details

Table of Contents (24) Chapters

Preface

1. Part 1: Learning about the Amazon Cloud

2. Chapter 1: Amazon EC2 and Compute Services FREE CHAPTER

3. Chapter 2: Amazon Cloud Storage Services

4. Chapter 3: Amazon Networking Services

5. Chapter 4: Amazon Database Services

6. Chapter 5: Amazon Data Analytics Services

7. Chapter 6: Amazon Machine Learning Services

8. Chapter 7: Amazon Cloud Security Services

9. Part 2:Comprehending GCP Cloud Services

10. Chapter 8: Google Cloud Foundation Services

11. Chapter 9: Google Cloud’s Database and Big Data Services

12. Chapter 10: Google Cloud AI Services

13. Chapter 11: Google Cloud Security Services

14. Part 3:Mastering Azure Cloud Services

15. Chapter 12: Microsoft Azure Cloud Foundation Services

16. Chapter 13: Azure Cloud Database and Big Data Services

17. Chapter 14: Azure Cloud AI Services

18. Chapter 15: Azure Cloud Security Services

19. Part 4:Developing a Successful Cloud Career

20. Chapter 16: Achieving Cloud Certifications

21. Chapter 17: Building a Successful Cloud Computing Career

22. Index

Why subscribe?

23. Other Books You May Enjoy

Google Cloud’s big data services

Google provides a suite of big data analytics tools and services for users to use to collect, process, and analyze large amounts of data in the cloud. Some key services include the following:

Pub/Sub: A cloud messaging service that allows applications to exchange messages reliably, quickly, and asynchronously
Dataflow: This is a fully managed, serverless data processing service that enables users to create data pipelines for real-time and batch processing
BigQuery: This is a fully managed, serverless data warehouse that enables users to store and analyze massive amounts of structured and unstructured data
Cloud Dataproc: This is a managed Hadoop and Spark service that enables users to process large-scale datasets in a scalable and cost-effective manner
Looker: A data visualization tool that allows users to create and share interactive dashboards and reports