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

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...