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Amazon Kinesis Analytics - Introduction

The course is part of these learning paths

DevOps Engineer – Professional Certification Preparation for AWS
course-steps 35 certification 4 lab-steps 17 quiz-steps 2 description 3
AWS Big Data – Specialty Certification Preparation for AWS
course-steps 14 lab-steps 4 quiz-steps 4
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Overview
DifficultyAdvanced
Duration40m
Students475

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

- [Jeremy] Hello and welcome to this Cloud Academy course on Kinesis Analytics. Before we start, I'd like to introduce myself. My name is Jeremy Cook. I'm one of the trainers here at Cloud Academy specializing in AWS. Feel free to connect with either myself or the wider team here at Cloud Academy regarding anything about this course. You can email us at support@cloudacademy.com. Alternatively our online community forum is available for your feedback. In this training course you'll be introduced to Amazon Kinesis Analytics. Amazon Kinesis Analytics is a component of the wider Amazon Kinesis platform offering. The Amazon Kinesis platform consists of the following components, Amazon Kinesis Streams, Amazon Kinesis Firehose, and Amazon Kinesis Analytics. The remainder of this particular course will focus on the Amazon Kinesis Analytics service. The agenda and learning objectives for this course are as follows, we'll review Kinesis Analytics, and where and when to use it to best effect. We'll introduce you to the key features and core components of the Kinesis Analytics service. We'll spend some time understanding and reviewing AWS Kinesis Analytics applications, input streams, queries, pumps and output streams. We'll review the important parts of how to define and structure or rescue our queries. Finally, we'll provide a demonstration and walk through of an end-to-end real-time data streaming example in which we perform real-time analytics. The following prerequisites will be both useful and helpful for this course, general big data and analytical concepts, SQL, Structured Query Language used at query time, data streams. If you require an introduction to either Analytics and/or Amazon Kinesis, then please consider taking the Analytics Fundamentals for AWS and/or Working with Amazon Kinesis courses here on Cloud Academy.

About the Author

Students6660
Labs13
Courses44
Learning paths9

Jeremy is the DevOps Content Lead at Cloud Academy where he specializes in developing technical training documentation for DevOps.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 20+ years. In recent times, Jeremy has been focused on DevOps, Cloud, Security, and Machine Learning.

Jeremy holds professional certifications for both the AWS and GCP cloud platforms.