Learn the components and use cases of the Amazon Kinesis service and get started using Amazon Kinesis to create solutions and solve business problems.
Learning Objectives
- Learn to recognize and explain the core components of the Amazon Kinesis Service.
- Learn how to get data in and out of an Amazon Kinesis Data Stream, and how streaming data is modeled.
- Learn how to set up, create and manage Amazon Kinesis services.
- Explore the Amazon Kinesis Analytics service, including where and when to use this service to best effect
- Learn how to use Kinesis Data Analytics to sessionize sample clickstream data and output it to DynamoDB using a Lambda.
- Learn to evaluate, select and apply the Amazon Kinesis services as a way to meet a set of business requirements.
- Build the Kinesis-based solution discussed in the scenario in a hands-on lab environment.
Intended Audience
This learning path is intended for people that want to learn about Amazon Kinesis, what it does, and why it's important.
Prerequisites
No prior knowledge of Amazon Kinesis or streaming data is required for this course but you should have some basic experience with the AWS platform.
Andrew is fanatical about helping business teams gain the maximum ROI possible from adopting, using, and optimizing Public Cloud Services. Having built 70+ Cloud Academy courses, Andrew has helped over 50,000 students master cloud computing by sharing the skills and experiences he gained during 20+ years leading digital teams in code and consulting. Before joining Cloud Academy, Andrew worked for AWS and for AWS technology partners Ooyala and Adobe.