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  • Book Overview & Buying The Self-Taught Cloud Computing Engineer
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The Self-Taught Cloud Computing Engineer

The Self-Taught Cloud Computing Engineer

By : Dr. Logan Song
5 (180)
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The Self-Taught Cloud Computing Engineer

The Self-Taught Cloud Computing Engineer

5 (180)
By: Dr. Logan Song

Overview of this book

As cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing. Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape. Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.
Table of Contents (24 chapters)
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1
Part 1: Learning about the Amazon Cloud
9
Part 2:Comprehending GCP Cloud Services
14
Part 3:Mastering Azure Cloud Services
19
Part 4:Developing a Successful Cloud Career

Amazon Data Analytics Services

Amazon provides analytics tools and services for many forms of data. Continuing from the Amazon Web Services (AWS) database discussions in the previous chapter, we will focus on the AWS big data analytics services in this chapter.

What is big data? In a nutshell, big data refers to big and complex datasets that are difficult to process using traditional data analytics tools. Big data is typically characterized by its volume, velocity, and variety:

  • Volume: Big data refers to datasets that are too large to be processed using traditional database management systems. The size of big data can range from terabytes to petabytes, and it is often generated in real time.
  • Velocity: Big data is often generated at a high velocity, meaning that it is created and collected rapidly. This requires real-time or near-real-time processing and analysis to turn the data into meaningful insights.
  • Variety: Big data comes in many different forms, including...
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The Self-Taught Cloud Computing Engineer
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