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Dynamic Data Analysis using AWS Managed Services

Weather Data Monitoring And Analytics Solution for a Global Industrial IoT Company

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Overview

The client is a global manufacturer of advanced electronic devices/components in the field of automation. They wanted to develop a solution that collects and stores their environment sensors’ data in real-time and analyzes correlation between separately collected data. ACL Digital architected a cloud-based machine learning solution, including web application using AWS managed services.

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    Challenges

    Absence of application to capture data from the sensors

    Lack of cloud-based ML solution

    Solutions

    • Architected a cloud-based Machine Learning solution, including Web Application using AWS Managed Services
    • Developed Server Sent Events (SSE) App for real-time data transmission from sensors. Implemented ML script to perform preprocessing on data based on “Change Content” operation like average, max & difference etc.
    • Developed Web App to customize users’ settings & dashboard for retrieved environment sensors’ data using Amazon Cognito, Lambda & API gateway
    • Cloud implementation & auto deployment using AWS Managed Services
    • Developed script to calculate AWS pricing based on file size, processing time & storage
    • Processed CSV files stored on S3 Bucket upon confirmation using AWS SageMaker
    Weather Data Monitoring Solution diagram

    Outcomes

    Benefits Dynamic Data Analysis using AWS Managed Services
    Benefits Dynamic Data Analysis using AWS Managed Services
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