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The Self-Taught Cloud Computing Engineer

You're reading from  The Self-Taught Cloud Computing Engineer

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781805123705
Pages 472 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dr. Logan Song Dr. Logan Song
Profile icon Dr. Logan Song
LinkedIn
Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito. With 25+ years of professional experience, Dr. Song is highly skilled in enterprise information technologies, specializing in cloud computing and machine learning. He is a Google Cloud-certified professional solution architect and machine learning engineer, an AWS-certified professional solution architect and machine learning specialist, and a Microsoft-certified Azure solution architect expert. Dr. Song holds a Ph.D. in industrial engineering, an MS in computer science, and an ME in management engineering. Currently, he is also an adjunct professor at the University of Texas at Dallas, teaching cloud computing and machine learning courses.
See other products by Dr. Logan Song

Table of Contents (24) Chapters

Preface 1. Part 1: Learning about the Amazon Cloud
2. Chapter 1: Amazon EC2 and Compute Services 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 23. Other Books You May Enjoy

What this book covers

Chapter 1, Amazon EC2 and Compute Services, introduces AWS cloud compute services including EC2, among others.

Chapter 2, Amazon Cloud Storage Services, delves into AWS cloud storage services including EBS, EFS, S3, and so on.

Chapter 3, Amazon Cloud Networking Services, discusses AWS cloud networking services, including VPC, Amazon Direct Connect, Amazon Domain Name Service (DNS), and Content Delivery Network (CDN).

Chapter 4, Amazon Cloud Database Services, covers relational databases, NoSQL databases, and data warehouses in the AWS cloud.

Chapter 5, Amazon Cloud Big Data Services, explores AWS big data services for data ingestion, storing, processing, and visualization in the Amazon cloud.

Chapter 6, Amazon Cloud Machine Learning Services, examines AWS cloud machine learning (ML) services, including SageMaker and AWS ML API services.

Chapter 7, Amazon Cloud Security Services, addresses AWS cloud security services for hardening the Amazon cloud environment.

Chapter 8, Google Cloud Foundation Services, covers Google Compute Engine (GCE), Persistent Disks (PDs), network storage (Filestore), Google Cloud Storage (GCS), Google VPC, and VPC peering.

Chapter 9, Google Cloud Data Services, covers GCP data services such as Cloud SQL, Firestore, Datastore, and Bigtable; and GCP big data services, including BigQuery, Pub/Sub, Dataproc, Dataflow, and so on.

Chapter 10, Google Cloud AI Services, examines GCP ML services, focusing on GCP Vertex AI and AI APIs.

Chapter 11, Google Cloud Security Services, discusses GCP security services including endpoint security, network security, data security, and Security Command Center (SCC), which is the focal point of this chapter.

Chapter 12, Azure Cloud Foundation Services, explores the concepts of Azure cloud virtual machines and disk storage, file storage, Binary Large Object (BLOB) storage, queue storage, table storage, Azure vNets, and peering.

Chapter 13, Azure Cloud Data Services, covers Azure cloud-managed database services such as relational databases (Azure SQL Database), NoSQL databases (Azure Cosmos DB), and cache databases (Azure Cache for Redis), and discusses Azure big data services including Azure Data Factory, Azure Databricks, and Azure HDInsight.

Chapter 14, Azure Cloud AI Services, discusses Azure Machine Learning workspaces and Azure Cognitive Services, including the Azure OpenAI service.

Chapter 15, Azure Cloud Security Services, covers Microsoft Azure cloud security, including Azure security best practices, the Azure cloud security reference architecture, and an Azure security case study of a real-life project.

Chapter 16, Achieving Cloud Certification, reviews cloud certification roadmaps for AWS, Azure, and GCP, develops cloud exam strategies, and analyzes practice questions for seven cloud certification exams.

Chapter 17, Building a Successful Cloud Computing Career, discusses the cloud job market and the soft skills in a cloud career, and I share my own cloud story.

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Authors (1)

Profile icon Dr. Logan Song
LinkedIn
Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito. With 25+ years of professional experience, Dr. Song is highly skilled in enterprise information technologies, specializing in cloud computing and machine learning. He is a Google Cloud-certified professional solution architect and machine learning engineer, an AWS-certified professional solution architect and machine learning specialist, and a Microsoft-certified Azure solution architect expert. Dr. Song holds a Ph.D. in industrial engineering, an MS in computer science, and an ME in management engineering. Currently, he is also an adjunct professor at the University of Texas at Dallas, teaching cloud computing and machine learning courses.
Read more
See other products by Dr. Logan Song

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