Big Data in the AWS (Amazon Web Services) Cloud
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Brief Introduction
Learn about building out scalable, resilient Big Data solutions using the AWS platformDescription
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:
- Netflix
- Shell
- Yelp
- C-SPAN
Learn more about how to solve Big Data problems using the world's biggest cloud computing platform!
Requirements
- Requirements
- This course does not presume that students have prior knowledge of AWS or its Big Data tools.
- You will need a computer or mobile device in order to watch lectures.
- Basic familiarity with data-related concepts is useful (databases, streaming data, data warehouses, etc.), though since this course covers tools throughout the data space, we will include review lectures for students that need a refresher or are unfamiliar with certain data-related concepts.
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