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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

Azure cloud big data services

Like Amazon and Google, Microsoft provides a full stack of big data cloud services, including the big data ETL service, ADF; the big data processing service tool, Azure HDInsight; and the big data analytic service, Azure Data Bricks.

Azure ADF

ADF is a cloud-based data integration service for creating data-driven workflows that automatically move and transform data. ADF is a pipeline – a logical grouping of activities to perform a data-driven task, such as the following:

  • Data moving – This takes an ingestion source, pulls it into the Azure cloud, and puts it into a data lake
  • Data transformation – This connects the data lake to Databricks, runs a stored procedure, and transforms data to produce a new dataset for further analytics

Essentially, ADF is a data ETL service integrating hybrid data at an enterprise level. More details about ADF are available at https://azure.microsoft.com/en-us/products/data-factory...

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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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