Data Streaming in AWS you own this product

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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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.

project author

Mike Shakhomirov
Mike Shakhomirov is a lead data engineer at The World's Online Festival. He has an MBA and MIT diploma in big data and social analytics and is a Google Cloud Certified Professional Data Engineer. He is a passionate and digitally focused individual with an abundance of drive and enthusiasm, loving the challenges the full mix of digital marketing can offer. He is also an official writer for publications such as Towards Data Science and The Startup, with more than 20 published articles on various topics. He writes about data engineering, machine learning and AI in digital marketing.

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

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