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Streaming Data with AWS Kinesis and Lambda

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Updated 12/2024
Learn how to work with streaming data using serverless technologies on AWS.
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Course Description

What powers the systems that we use every day without realizing, like fraud detection to keep our transactions secure or traffic signals that keep traffic flowing smoothly? The answer is streaming data (data that is continuously generated by different sources) and serverless technologies—like Amazon Kinesis and AWS Lambda.

In this course, you’ll learn how to leverage these powerful technologies by helping a fictional data engineer named Cody. Your goal is to help her to collect real-time streaming data from city-owned vehicles, analyze the data, and send relevant alerts like speed warnings to drivers. Using Amazon Kinesis and Firehose, you’ll learn how to ingest data from millions of sources before using Kinesis Analytics to analyze data as it moves through the stream. You’ll also spin up serverless functions in AWS Lambda that will conditionally trigger actions based on the data received. By the end of this training you’ll know how to create live ElasticSearch dashboards with AWS QuickSight and CloudWatch—and hopefully helped Cody complete her ambitious project.

Prerequisites

Introduction to AWS Boto in PythonIntroduction to ShellStreaming Concepts
1

Streaming in the cloud

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2

Going serverless

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3

Analyzing streaming data

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4

Monitoring and visualizing streaming data

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Streaming Data with AWS Kinesis and Lambda
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