Learn the components and use cases of the Amazon Kinesis service and get started using Amazon Kinesis to create solutions and solve business problems.
Course: Introduction to Amazon Kinesis
Learn to recognize and explain the core components of the Amazon Kinesis Service.
Course: Working With Amazon Kinesis
Learn how to set up, create and manage Amazon Kinesis services.
Course: Working With Amazon Kinesis Analytics
We then deep dive in to the Amazon Kinesis Analytics service. We review where and when to use this service to best effect. You will be introduced to the key features and core components of the Kinesis Analytics service. We spend time understanding and reviewing Kinesis Analytics Applications, Input Streams, SQL Queries, Pumps, and Output Streams. We’ll review the important parts of how to define and structure our SQL queries. Finally, a demonstration and walkthrough of an end-to-end real time data streaming example is provided.
Scenario: Creating a Highly Available Campaign Website
In this scenario based course we learn to evaluate, select and apply the Amazon Kinesis services as a way to meet a set of business requirements.
Lab: Building a Highly Available Serverless Website using AWS Services
We then have the opportunity to build the Kinesis based solution discussed in the scenario in a hands on lab environment.
Assessment: A short exam to show we have mastered the skills required to recognize, explain and implement the Amazon Kinesis services.
Learning Path Steps
Deploy a highly available serverless application using AWS services
Learn how to deploy a highly available website using AWS, with a scenario based on challenges, like time restrictions, and cost limitations many websites face.
Exam: Getting Started with Amazon Kinesis
About the Author
Andrew is an AWS certified professional who is passionate about helping others learn how to use and gain benefit from AWS technologies. Andrew has worked for AWS and for AWS technology partners Ooyala and Adobe. His favorite Amazon leadership principle is "Customer Obsession" as everything AWS starts with the customer. Passions around work are cycling and surfing, and having a laugh about the lessons learnt trying to launch two daughters and a few start ups.