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Amazon Kinesis Analytics - Review

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The course is part of these learning paths

Getting Started With Amazon Kinesis
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1
2
AWS Machine Learning – Specialty Certification Preparation
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DevOps Engineer – Professional Certification Preparation for AWS
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Overview
Difficulty
Advanced
Duration
40m
Students
2331
Ratings
4.9/5
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Description

In this Kinesis Analytics course, 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.

Transcript

Before we finish, let's do a quick review of what we've learned. We gained an understanding of Kinesis Analytics, and where and when to use it to best effect. We introduced you to the key features and core components of the Kinesis Analytics service. We spent time understanding and reviewing AWS Kinesis Analytics patterns. We learned about the core components of a Kinesis streaming SQL query, such as schema, streams and pumps, and how they work together. We provided an overview of tumbling and sliding windows. We reviewed the key benefits obtained when using Kinesis Analytics. Finally, we spent time building end-to-end real time data streaming example in which we demonstrated and performed real-time streaming analytics. Thank you for your participation. I do hope you enjoyed this course on Kinesis Analytics. Feel free to send any feedback, and/or questions, at support@cloudacademy.com. Or, alternatively you can always get in touch with us here at Cloud Academy using the community forum where one of our Cloud Experts will reply to your question.

About the Author
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Jeremy Cook
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, GCP, Azure), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, GCP, and Kubernetes.