Amazon Web Services for Data Science
Learn what you need to know to implement cloud-based big data solutions using the right mix of Amazon Web Services-from big data and cloud architect and AWS community hero Lynn Langit. Starting with top-level categories of storage, data, computer, and services, Lynn guides you through planning your ideal AWS architecture, providing service demos using the AWS Console, command-line interface, and other tools. Learn when to use which service for which business case, such as Docker or Lambda or DynamoDB or Aurora? She shows how to script creation of services such as S3 buckets and EC2 instances, create and populate a managed data warehouse, and develop a data processing pipeline that works for you. Chapter 6 covers the AWS Internet of Things (IoT) services. These exercises can help you build proof-of-concepts, minimum viable products, and deployable solutions to scale and support big data initiatives at your company.
Topics include:
* Setting up your AWS account
* Using AWS tools
* Defining your minimum viable products
* Choosing computer, storage, and data services
* Using S3, SC2, or Docker for website hosting
* Developing an AWS website
* Using a data warehouse
* Developing a data processing pipeline
* Developing an Internet of Things project with AWS
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