Working with Amazon Kinesis Analytics

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Please note: this lesson has been removed from our content library and replaced with a new one: Serverless Streaming ETL using Amazon Managed Service for Apache Flink

 

In this Kinesis Analytics lesson, we will perform an in-depth review of 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.

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Jeremy Cook, opens in a new tab
Content Lead Architect
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Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

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