Cloud Basics for Data Professionals

June 29, 2024 IT & Software, Udemy CoursesUdemy Coupon

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Cloud Basics for Data Professionals Course by Maven Analytics and Chris Bruehl on Udemy. Learn basic cloud technology for data science & analytics, and get to know key players like AWS, GCP, Azure & Snowflake

Udemy Coupon for Cloud Basics for Data Professionals. Find Out Other Cloud Computing Courses and Tutorials from Udemy Learning with Discount Coupon Codes. Learn basic cloud technology for data science & analytics, and get to know key players like AWS, GCP, Azure & Snowflake

Course Description

This Cloud Basics for Data Professionals course is a high-level introduction to the world of cloud computing. The cloud ecosystem has grown exponentially in recent years, now storing more than half of the world’s corporate data. Yet most people who interact with cloud services are unaware of what’s going on behind the scenes.

In this course, we’ll set the stage by defining what cloud computing means and why companies rely on it, draw comparisons against traditional on-premise computing, and explore how different types of data professionals interact with cloud technology. From there we’ll dig into the core components of cloud architecture, compare different types of cloud services and infrastructure, and review important topics like security, virtualization, cost control, and more.

Next, we’ll explore the modern cloud landscape, and compare services offered by key players like AWS, Microsoft Azure, and Google Cloud. We’ll introduce public and private cloud providers, data platforms and software products, and discuss how to mitigate the risk of vendor lock-in.

Last but not least, we’ll walk through unique demos and real-world use cases to showcase how you can begin to leverage these services as a data professional, including workflows built on AWS, Azure, GCP and Snowflake.

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What you’ll learn

Learn why so many companies are leveraging cloud technology for data science & analytics
Understand the basic use cases of cloud computing for different data roles (analysts, data scientists & data engineers)
Compare the different types of cloud services (IaaS, PaaS, and SaaS) and cloud infrastructure (private, public & hybrid)
Explore the similarities and differences between major players in the cloud landscape, including Amazon Web Services, Microsoft Azure & Google Cloud
Demo real-world data analytics workflows using Azure, GCP, AWS and Snowflake