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Simple scaffolding for applications that produce SQS messages
Aws-SQS Fifo
Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.
Spring Boot Publishes publishes message to AWS SQS. A Spring boot listener reads from SQS Queue and loads the data in Dynamo DB. DynamoDB Stream triggers a lambda function which inserts data to SNS topic and sends an email upon record insertion