Data Engineer

Data Streaming in AWS you own this product

This project is part of the liveProject series Become a Data Engineer with AWS
prerequisites
basic knowledge of AWS Redshift • basic understanding of cloud computing • advanced shell scripting • basic Python
skills learned
create streaming data pipelines on AWS using Kinesis and Redshift • provision the resources for your data pipeline using AWS Kinesis Data Stream • use AWS Lambda to simulate an event stream • create an AWS Redshift Serverless resource using AWS CloudFormation to transform data in AWS Redshift
Mike Shakhomirov
1 week · 4-6 hours per week · BEGINNER
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team

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Look inside

As a data engineer for a mobile game development studio, your task is to create a data streaming pipeline that collects and processes large streams of data records in real-time for lightning-fast analytics. Your company’s modern data platform architecture includes an Amazon Athena data lake and an AWS Redshift data warehouse solution. To store files, you’ll create an AWS S3 bucket, and you’ll create an AWS Kinesis delivery stream by using the boto3 library to connect to AWS Kinesis endpoints and send event data to the service. You’ll provision AWS Redshift resources and connect them to your AWS Kinesis Data Stream to analyze user behavior data to understand the user's journey inside the app. When you’re done, you’ll have a simple yet reliable data streaming pipeline that prevents resource shortages and transforms data in real-time—while it’s still relevant—ensuring more accurate data.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Mike Shakhomirov

Mike Shakhomirov is the head of data engineering at The World's Online Festival. He has an MBA as well as a diploma in big data and social analytics from MIT, and he’s a Google Cloud Certified Professional Data Engineer. Passionate, enthusiastic, and digitally focused, he loves the challenges that the diverse gamut of digital marketing can offer. Mike is an official writer for publications including Towards Data Science and The Startup, and he’s the author of more than 50 published articles on topics such as data engineering, machine learning, and AI in digital marketing. You can find him on LinkedIn and Medium.

prerequisites

This liveProject is for intermediate Python programmers who are interested in creating streaming data pipelines on AWS using Kinesis, Redshift, and CloudFormation. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Intermediate Python skills and knowledge
  • AWS account
  • Basic cloud computing skills
  • Basic knowledge of the MySQL database
  • Basic knowledge of serverless infrastructure

you will learn

In this liveProject, you’ll learn to create streaming data pipelines on AWS using Kinesis, Redshift, and CloudFormation.

  • Provision the resources required for our data pipeline using Kinesis Data Stream
  • Use AWS Lambda to simulate an event stream to send data to Kinesis Data Stream
  • Create a Redshift Serverless resource using CloudFormation to transform data in AWS Redshift

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book resources
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  • exclusive 50% discount on all purchases
  • Data Streaming in AWS project for free