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Software Development
Amazon Bedrock, Amazon S3, Amazon CloudWatch, AWS IAM, AWS Lambda
Built a Gen AI solution on AWS, boosting engagement, efficiency, and cost savings
Founded in 2016 by B2B CRM and marketing experts, the company specializes in innovative digital marketing solutions, enhancing Oracle Eloqua, integrating Salesforce and Snowflake data, and optimizing workflows. With expertise in Salesforce, Eloqua, Snowflake, and Adobe Experience Cloud, our agile team 30 delivers scalable, enterprise-ready solutions.
Reduced ERD generation time
Enhanced Query Accuracy and Efficiency
Cost Savings and Performance
The client needed a solution to automate the generation of Entity-Relationship Diagrams (ERD) from complex schema data and simplify query creation for platforms like Salesforce and Snowflake, as the manual process was inefficient and lacked scalability.
• The client’s schema data is uploaded as CSV to Amazon S3 with encryption for security.
• An AWS IAM user is created for developers to manage access and permissions.
• AWS Lambda processes the CSV, converting it to JSON and storing it in a designated S3 folder.
• AWS Lambda generates ERD relationships from the JSON schema and stores them in another S3 folder.
• Metadata, including the customer’s name and S3 location, is saved in an Amazon RDS database.
• A second Lambda function triggers, generating platform-specific queries and storing them in Amazon DynamoDB.
• Users retrieve queries via Amazon API Gateway by providing the correct payload.
Developed an end-to-end Gen AI solution on AWS, boosting engagement, efficiency, and scalability while reducing ERD generation time, improving query accuracy by 30%, and cutting operational costs by 20%.
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