This is the code repository for The Self-Taught Cloud Computing Engineer, published by Packt.
A comprehensive professional study guide to AWS, Azure, and GCP
This self-study book helps you master multiple clouds, including AWS, Azure, and GCP, and serves as a roadmap to becoming a certified cloud computing expert. The book will guide you to develop a professional cloud career by building a broad cloud knowledge base, developing hands-on cloud computing skills, and getting cloud certified.
This book covers the following exciting features:
- Develop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCP
- Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments
- Integrate cloud databases, big data, and machine learning services in multi-cloud environments
- Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds
- Implement machine learning pipelines in multi-cloud environment
- Secure cloud infrastructure ecosystems with advanced cloud security services
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
Create database school;
Create table school.students (
StudentID int primary key,
LastName varchar(100),
FirstName varchar(100),
City varchar(100));
Dr Logan Song is the Enterprise Cloud Director and Chief Cloud Architect at Dito LLC, a Google cloud partner company. With 25+ years of professional experience, Dr Song is highly skilled in information technologies, specializing in Cloud Computing. Dr Song is an adjunct professor at the University of Texas at Dallas where he has been teaching cloud computing for years. Dr Song holds a PhD in Industrial Engineering and an MS in Computer Science. He owns all professional cloud computing certifications in AWS, Azure and GCP, and he is an AWS academy accredited educator. Dr Song has made numerous presentations and publications in cloud computing, and he is the author of the book “Journey to Become a Google Cloud Machine Learning Engineer”.