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Big Data in the AWS (Amazon Web Services) Cloud

IT & Software

Big Data in the AWS (Amazon Web Services) Cloud, available at $29.99, has an average rating of 3.95, with 27 lectures, based on 188 reviews, and has 1041 subscribers.

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You will learn about You will learn what the uses and limitations are of numerous AWS services in the Big Data space. You will learn, via real-world case studies, how industry leaders have used these tools to work with Big Data. You will learn what enables certain AWS services to scale for Big Data applications. This course is ideal for individuals who are Individuals in the tech space who want to learn more about using AWS for Big Data. This course is not for advanced Big Data practitioners that have extensive experience with AWS Big Data solutions. It is particularly useful for Individuals in the tech space who want to learn more about using AWS for Big Data. This course is not for advanced Big Data practitioners that have extensive experience with AWS Big Data solutions.

Enroll now: Big Data in the AWS (Amazon Web Services) Cloud

Summary

Title: Big Data in the AWS (Amazon Web Services) Cloud

Price: $29.99

Average Rating: 3.95

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

  • You will learn what the uses and limitations are of numerous AWS services in the Big Data space.
  • You will learn, via real-world case studies, how industry leaders have used these tools to work with Big Data.
  • You will learn what enables certain AWS services to scale for Big Data applications.

Who Should Attend

  • Individuals in the tech space who want to learn more about using AWS for Big Data. This course is not for advanced Big Data practitioners that have extensive experience with AWS Big Data solutions.

Target Audiences

  • Individuals in the tech space who want to learn more about using AWS for Big Data. This course is not for advanced Big Data practitioners that have extensive experience with AWS Big Data solutions.

Amazon Web Services (AWS) offer a unique opportunity to build out scalable, robust, and highly-available systems in the cloud. This course will give you an overview of all of the different services that you can leverage within AWS to build out a Big Data solution. We’ll not only detail the use cases and limitations of each of the services, but also highlight particular cases where services may integrate to solve particular Big Data problems. Sections include real-world case studies that show how companies are actually using AWS today to solve their Big Data problems.

We will cover Big Data services in the following areas:

  • Storage and Databases
  • Big Data Analytic Frameworks
  • Data Warehousing
  • Real-Time Analytics
  • Artificial Intelligence/Machine Learning
  • Business Intelligence
  • Big Data Compute Instances
  • Data Movement

  • Serverless Architectures

In-depth case studies cover how real companies have leveraged the AWS cloud to build out Big Data solutions, such as:

  • Pinterest
  • Netflix
  • Shell
  • Yelp
  • C-SPAN

Learn more about how to solve Big Data problems using the world’s biggest cloud computing platform!

Course Curriculum

Chapter 1: Intro to the Course

Lecture 1: Introduction

Lecture 2: Why Use AWS for Big Data?

Lecture 3: Course Overview: What will you learn in this course?

Lecture 4: Prerequisites: What will you need to complete this course?

Chapter 2: Overview of Big Data on AWS

Lecture 1: What Is AWS? (optional)

Lecture 2: Overview of Big Data on AWS

Chapter 3: Storage

Lecture 1: Object Storage for Big Data Applications on AWS

Lecture 2: SQL vs. NoSQL Databases

Lecture 3: Databases and Big Data on AWS

Lecture 4: Case Study: Duolingo and Amazon DynamoDB

Chapter 4: Big Data Analytic Frameworks

Lecture 1: Why Use a Big Data Analytic Framework?

Lecture 2: Big Data Analytic Frameworks on AWS

Lecture 3: Case Study: Yelp and Amazon EMR

Chapter 5: Data Warehousing

Lecture 1: Data Warehousing on AWS

Lecture 2: Case Study: Pinterest and Amazon Redshift

Chapter 6: Real-Time Big Data Analytics

Lecture 1: What Is Real-Time/Streaming Data?

Lecture 2: Real-Time Big Data Services on AWS

Lecture 3: Case Study: Netflix and Amazon Kinesis Data Streams

Chapter 7: Artificial Intelligence/Machine Learning

Lecture 1: What Are Artificial Intelligence and Machine Learning?

Lecture 2: Artificial Intelligence & Machine Learning on AWS

Lecture 3: Case Study: CSPAN and Amazon Rekognition

Chapter 8: Business Intelligence

Lecture 1: Business Intelligence on AWS: Amazon Quicksight

Chapter 9: Big Data Computation

Lecture 1: Big Data Computation on AWS

Lecture 2: Case Study: Shell and Amazon EC2

Chapter 10: Putting It All Together

Lecture 1: Data Movement on AWS

Lecture 2: Serverless Big Data Computations

Chapter 11: Conclusion

Lecture 1: Bonus lecture: Where to next? Discounts on other AWS courses

Instructors

Rating Distribution

  • 1 stars: 8 votes
  • 2 stars: 13 votes
  • 3 stars: 49 votes
  • 4 stars: 61 votes
  • 5 stars: 57 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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