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Customer Success Story
Fully integrated AWS-native data and analytics platform
Client
A trusted global IT service provider with over 20 years of experience specializing in Infor Lawson and CloudSuite ERP systems.
Business Challenge
- Scalability limitations – in the RDS Aurora database hindered APIX’s ability to support growing business needs.
- High operational costs – associated with the existing RDS Aurora setup.
- Need for optimization – of data management capabilities to enhance performance.
- Reporting requirement – to enable APIX to generate reports more effectively based on historical data.
Approach
- Delivered a fully integrated AWS-native data and analytics platform for real-time decision-making and operational optimization.
- Designed the platform using AWS Well-Architected Framework principles to ensure a secure and robust data foundation.
- Built a scalable data lake using AWS Glue as the cornerstone for data integration and management.
- Migrated historical data from RDS Aurora tables to an S3 data lake using AWS Lake Formation, leveraging virtually limitless storage for cost-effective reporting and historical analysis.
- Maintained metadata in AWS Glue Catalog and enabled serverless, interactive querying of S3 data with AWS Athena.
- Replaced stored procedures with Athena Saved Queries to simplify maintenance, enable easier development and version control, and support flexible, SQL-based ad-hoc queries.
- Implemented AWS CloudWatch metrics for monitoring Glue jobs, Lambda functions, and network performance, with alerts for quick responses to latency and throughput issues.
Technology Components
AWS Services
Amazon S3
Amazon Glue
Amazon Lambda
AWS IAM
AWS CloudFormation
AWS KMS
Monitoring
AWS CloudWatch
AWS CloudTrail
Data Integration
AWS CloudFormation
Amazon Athena
ETL
AWS Secrets Manager
Project Management
AWS CloudFormation
Amazon Athena
Transformational Effects
30%
Reduced operational costs
40%
Decreased data processing time
- Reduced operational costs by 30% using AWS Lambda for serverless data processing
- Decreased data processing time by 40% using AWS Athena for faster insights.
- Saved licensing costs by migrating from RDS Oracle to an AWS-managed data lake.
- Achieved cost savings with AWS Lake Formation by eliminating complex ETL pipelines.
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