Book Image

The Self-Taught Cloud Computing Engineer

By : Dr. Logan Song
Book Image

The Self-Taught Cloud Computing Engineer

By: Dr. Logan Song

Overview of this book

The Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to 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 while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.
Table of Contents (24 chapters)
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

Google Cloud’s big data services

Google provides a suite of big data analytics tools and services for users to use to collect, process, and analyze large amounts of data in the cloud. Some key services include the following:

  • Pub/Sub: A cloud messaging service that allows applications to exchange messages reliably, quickly, and asynchronously
  • Dataflow: This is a fully managed, serverless data processing service that enables users to create data pipelines for real-time and batch processing
  • BigQuery: This is a fully managed, serverless data warehouse that enables users to store and analyze massive amounts of structured and unstructured data
  • Cloud Dataproc: This is a managed Hadoop and Spark service that enables users to process large-scale datasets in a scalable and cost-effective manner
  • Looker: A data visualization tool that allows users to create and share interactive dashboards and reports

Google Cloud’s big data services are used for a...