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Amazon S3, Amazon CloudWatch, AWS IAM, Amazon SNS
Automated processing, optimized storage, ensuring high availability, and real-time alerting for efficiency.
Caresoft Global is a technology-driven engineering solutions company helping automotive OEMs and suppliers optimize benchmarking, product development, cost, and manufacturing through advanced technologies and processes that accelerate R&D, reduce costs, and improve efficiency.
Automation of Data Processing
Data Quality
Job Failure Coverage
The customer faces challenges with managing large volumes of data, making it inefficient to fetch specific vehicle data. They need a pipeline that processes only relevant data, reducing processing and storage costs. Additionally, timely storage in Amazon RDS for conversational AI use is required. The current process is complex, costly, and inefficient, prompting the need for a more efficient solution that improves data quality while minimizing overhead.
• Extract data from Amazon RDS to Amazon S3 using AWS Glue in the Raw Layer.
• Organize and structure data in Amazon S3 for efficient access and processing.
• Create common transformation views in the Staging Layer using AWS Glue jobs.
• Process data into final views in the Transform Layer and load into Amazon RDS for AI.
• Manage workflow using AWS Step Functions, scheduling Glue jobs in sequence.
• Monitor performance and health of jobs with Amazon CloudWatch.
• Trigger job failure alerts via Amazon EventBridge and SNS notifications.
• Secure access with AWS IAM roles and manage RDS credentials with AWS Secrets Manager.
• Enable automated, secure data processing for conversational AI.
Automates 90% of data processing, optimizes storage by 80%, ensures 95% data availability, achieves 99% data quality, and provides real-time alerts for 100% job failure coverage.
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