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Spring boot demo app. Polls an external service and produces kafka topics which are sent to a kafka cluster (AWS-MSK). This topic is later consumed from the same demo app and returned when calling the REST API endpoint.
AWS MSK Connect workshop helps first time users explore and get started to deploy fully managed Apache Kafka Connect workloads using Amazon MSK Connect.
This project provides and example of end to end data processing application created using the combination of Amazon Managed Streaming for Apache Kafka (Amazon MSK), AWS Fargate, AWS Lambda and Amazon DynamoDB. Business logic is implemented in Java and Typescript. The build and deployment of the application is fully automated using AWS CDK.
Pinterest's experiment analytics data pipeline which runs thousands of experiments per day and crunches billions of datapoints to provide valuable insights to improve the product.
This is a collecton of Amazon CDK projects to show how to directly ingest streaming data from Amazon Mananged Service for Apache Kafka (MSK) and MSK Serverless into Apache Iceberg table in S3 with AWS Glue Streaming.
Pinterest data pipeline - designing an end-to-end pipeline utilising AWS cloud technologies and Databricks for analysing real-time and historical pinterest-emulated data.
A Cloud based Reddit stock sentiment analyzer that analyzes overall sentiment from a configurable selection of stock subreddits for each stock. The architecture utilizes AWS MSK (Kafka), AWS EMR (PySpark) and AWS Lambda (Python 3) for maximum scalability and the OpenAI API for sentiment analysis through prompt engineering.
Pinterest's experiment analytics data pipeline which runs thousands of experiments per day and crunches billions of datapoints to provide valuable insights to improve the product.