Processing Streaming Metadata using Amazon Kinesis Data Streams

Lab Steps

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Logging in to the Amazon Web Services Console
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Creating an Amazon Kinesis Data Stream
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Connecting to the Virtual Machine Using EC2 Instance Connect
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Using a Data Stream with API Gateway
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Consuming Data Stream Records with AWS Lambda

The hands-on lab is part of this learning path

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h 30m
Students66
Ratings
5/5
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Description

Amazon Kinesis Data Streams (KDS) is a serverless data streaming service available in the public AWS cloud. It's a fully managed service that can be used to store and ingest streaming data in real time at scale. Amazon KDS integrates with other AWS services as well as being easy to use from custom applications.

Learning how to set up, configure, and use Amazon KDS will enable you to build systems in the AWS cloud that can handle high throughput data rates.

In this hands-on lab, you will create a new Amazon Kinesis data stream and configure an AWS Lambda function to process data records from the stream.

Learning Objectives

Upon completion of this beginner level lab, you will be able to:

  • Create a new Amazon Kinesis Data Stream
  • Configure an AWS Lambda function to process data stream records
  • Configure an Amazon Simple Queue Service (SQS) queue to handle processing failures

Intended Audience

  • Candidates for the AWS Certified Data Analytics Specialty certification
  • Cloud Architects
  • Data Engineers
  • DevOps Engineers
  • Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Amazon Kinesis Data Streams (KDS)
  • AWS Lambda
  • Amazon Simple Queue Service (SQS)

The following content can be used to fulfill the prerequisites:

Environment before
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Environment after
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About the Author
Students53448
Labs136
Courses2
Learning paths3

Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes.

He holds multiple AWS certifications including Solutions Architect Associate and Professional.