Case Study: a technology solutions provider in APAC achieves scalable data modernization with KANINI's AWS Data Lake Platform

AWS Data Lake Platform Implementation

The client, a large digital innovation company in APAC that provides technology solutions for the supply chain finance ecosystem, was facing challenges with its existing data infrastructure. As its customer base grew, the platform lacked the scalability to handle increased data volume and variety, leading to inefficient data management and difficulty in deriving insights. KANINI was engaged to address these issues and implement a modernized solution.

KANINI designed and implemented a robust, scalable AWS data lake platform. The solution utilized a range of AWS services, including S3 for storage, AWS Glue for serverless ETL, and Amazon SageMaker for machine learning. This provided the client with a centralized data repository, efficient data management from ingestion to analysis, and reduced data silos. The new infrastructure accelerated analytics, improved data quality, and established a cost-effective, scalable foundation for future business needs.