Book Image

Cloud Computing Demystified for Aspiring Professionals

By : David Santana
5 (1)
Book Image

Cloud Computing Demystified for Aspiring Professionals

5 (1)
By: David Santana

Overview of this book

If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you’ve come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You’ll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace.
Table of Contents (23 chapters)
1
Part 1: The Journey to Cloud Computing
5
Part 2: Implementing Cloud Deployment Models
9
Part 3: Cloud Infrastructure Services in Action
13
Part 4: Administrating Database and Security on the Cloud
18
Part 5: Roadmap for a Successful Journey in Cloud Engineering

Building data warehouse services

In this section, you will learn about cloud computing data warehouse management services. We will explore some AWS, Azure, and Google Cloud non-relational database management services.

The cloud computing leaders provide managed data warehouse services that enable you to deploy clustered data warehouse resources that can perform online analytical processing (OLAP) on massive amounts of data in parallel, while integrating with business intelligence services and tools.

In todays world, every industry, including multimedia, transportation, and hospitality, periodically needs to analyze current and historical data for reporting and to garner data insights. The volume of historical data alone can be daunting, and it may need to be formatted, validated, and organized based on business needs to help with decision making. What if we needed to make an informed decision based on a comparison week-to-date or month-to-date, due to the trajectory or path of...