Activating a Disruptive Automaker’s Multi-Platform, Cloud-Based Data Solution

Automotive

Challenge

An innovator in automotive manufacturing encountered many data-related challenges, including disparate data source integration, volume management, quality assessment, security and compliance.

Outcome

Leveraging AWS’ cloud-based features, we collaborated with the organisation on a solution that streamlines data flow and user experience across multiple domains and platforms.

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Creating cloud-based automotive efficiency

As a joint effort to build a serverless cloud-enablement prototype with scaling potential, we implemented relevant AWS integrations to address each of our partner company’s concerns:

Data storage: Data was housed inside AWS S3 to serve as a centralised, scalable data repository. S3 can enable various raw and processed data points to live safely without losing integrity. Additionally, Amazon DynamoDB provides a fast and flexible NoSQL database service for storing and retrieving structured data at any scale. It supports high-throughput and low-latency access, making it ideal for real-time applications and dynamic data interaction.
Real-time accuracy: AWS Lambda functions as the platform’s execution layer, allowing for on-demand computing power that can process incoming data streams, trigger workflows and perform real-time data transformations. By using Python for data processing, Lambda efficiently handles extract, transform and load tasks to keep data current.

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Data processing and streaming: AWS Step Functions orchestrate the complex workflows, coordinating multiple Lambda functions and other AWS services. This integration keeps processing pipelines robust, fault-tolerant and easy to oversee. For real-time data processing and event streaming, the platform deploys AWS Kinesis Firehose which captures, transforms and delivers streaming data to various destinations for immediate analysis.
Event hosting: We integrated AWS EventBridge and SNS to facilitate event-driven architectures. With these solutions, the platform can seamlessly communicate between different services and components, manoeuvring data smoothly through the system. EventBridge routes events from various sources, while SNS distributes messages to multiple endpoints.
Data cataloguing and querying: AWS Glue Crawlers carries out automated data discovery and metadata registration for S3-stored information so it can be analysed. Athena allows for direct querying of data in S3 using standard SQL, providing quick and efficient access to insights without the need for complex data warehousing solutions.

Collectively, these services create a cohesive and resilient serverless architecture that ensures data flows seamlessly from ingestion to analysis, supporting advanced data enablement across multiple domains. Furthermore, all these integrations are supported by robust data governance, leveraging data effectively across aftermarket services to enable manufacturing, logistics and customer interactions.