English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 40 lectures (1h 57m) | 614 MB
Learn basic cloud technology for data science, analytics, and get to know key players like AWS, GCP, Azure, Snowflake
This 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.
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
Table of Contents
Getting Started
1 Course Introduction
2 Course Structure & Outline
3 READ ME Important Notes for New Students
4 DOWNLOAD Course Resources
5 Setting Expectations
Cloud 101
6 What is The Cloud
7 The Rise of The Cloud
8 Why Do Companies Choose The Cloud
9 On Premise vs. Cloud Computing
10 Data Roles & The Cloud
11 Key Takeaways
Cloud Architecture
12 Your Computer
13 On Premise Servers
14 Cloud Data Centers & Networks
15 Is The Cloud Secure
16 Cloud Storage
17 Cloud Compute
18 Virtualization
19 PRO TIP Cost Control
20 DEMO Inside a Cloud Platform
21 Types of Cloud Services
22 Types of Cloud Infrastructure
23 Key Takeaways
The Cloud Landscape
24 Public Cloud Providers
25 Comparing Big 3 Service Names
26 Private Cloud Providers
27 Cloud Data Platforms (PaaS)
28 Cloud Software Products (SaaS)
29 The Risk of Vendor Lock-In
30 Key Takeaways
Common Cloud Data Stacks
31 Choosing a Stack
32 DEMO Amazon Web Services (AWS)
33 DEMO Microsoft Azure
34 DEMO Google Cloud Platform (GCP)
35 DEMO Snowflake
36 CASE STUDY AWS & Azure
37 CASE STUDY GCP & Snowflake
38 Key Takeaways
Wrapping Up
39 Key Course Takeaways
40 BONUS LESSON
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