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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.
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Table of Contents (24) Chapters close

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

Amazon EMR

Amazon EMR is a platform for leveraging many big data tools for data processing. We will start by looking at the concepts of MapReduce and Hadoop.

MapReduce and Hadoop

MapReduce and Hadoop are two related concepts in the field of distributed computing and big data processing.

The idea of MapReduce is “divide and conquer”: decompose a big dataset into smaller ones to be processed in parallel on distributed computers. It was originally developed by Google for its search engine to handle the massive amounts of data generated by web crawling. The MapReduce programming model involves two functions: a map function that divides and processes in parallel the datasets and a map function that aggregates the map outputs.

Hadoop is an open source software framework that implements the MapReduce model. Hadoop consists of two core components: Hadoop Distributed File System (HDFS) and MapReduce. HDFS is a distributed filesystem that can rapidly transfer data between...

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Authors (1)

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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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