Project Overview
The objective was to design and implement a cloud-based system which is capable of capturing, processing, and providing access to diverse geospatial datasets from multiple sources. These datasets, while focused around transportation, were significantly different in structure and content, such as traffic density, traffic lights, car telemetry, etc.
Scope:
- The solution required to handle varying schemas and formats in an efficient manner while providing real-time querying capabilities.
- Solution should be able to integrate with business intelligence (BI) tools for better analysis.
- The solutions should also be able to keep the infrastructure costs low using AWS services.
Key Challenges
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Varied Data Schemas Each dataset came from different sources, with no consistent schema. Therefore, it was a challenge to create a unified processing system that had the capability to handle everything from traffic density to car telemetry, while still preserving the geospatial component.
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Scalability and Cost Constraints The client, being a startup, needed a solution that was scalable as well as cost-effective. This was because the client had limited initial resources.
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Geospatial Complexity The data included geospatial components that required efficient modeling and querying. This made it necessary to implement specialized algorithms and tools that had the capability to handle the complexity of geospatial data.
Our Solution
Key Results
Efficient Data Processing
The AWS ECS Fargate containers provided a scalable solution for processing vast amounts of geospatial data with minimal cost. This led to the seamless handling of diverse datasets.
Unified Data Storage
The AWS S3 data lake helped the client to efficiently store unstructured data. This led to the data lake offering high availability and durability at low cost.
Real-Time Querying
Using PrestoDB on EMR, the client was able to perform complex queries on geospatial data with low latency. This allowed the users to analyze large datasets in real-time.
Cost-Effective Cloud Solution
The architecture was designed in order to keep the initial costs low by using AWS services, such as ECS, S3, and EMR. These services helped to deliver a scalable and resilient solution within the client’s budget constraints.
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