Project Overview
Arina Technologies was entrusted by Cigna to develop a robust Big Data pipeline that leverages AWS services to streamline data processing and analytics. This initiative was aimed at enhancing data-driven decision-making across various divisions within Cigna.
Technological Implementation
- AWS Glue: Used for effective data streaming, transforming, and preparing large datasets for analytics.
- AWS Athena: Enabled fast SQL-based querying to handle complex analysis over vast amounts of data.
- AWS Step Functions: Orchestrated multiple AWS services into serverless workflows so data processing could be automated and scalable.
- AWS CloudTrail: Provided governance, compliance, and risk auditing of the AWS account, enhancing security measures.
Challenges and Solutions
The main challenges involved in the project were managing data consistency, ensuring seamless integration among different services, and maintaining high availability. Through meticulous planning and expert execution, Arina Technologies overcame these obstacles by:
- Implementing comprehensive data validation and synchronization mechanisms.
- Using AWS Lambda for real-time data processing and anomaly detection.
- Configuring AWS S3 with multi-region redundancy to ensure data availability.
Following diagram shows the design:
Client Testimonial
"The expertise and dedication shown by Arina Technologies have significantly accelerated our big data initiatives. The seamless integration of cloud services has not only reduced our operational costs but also enhanced our analytics capabilities." - Cigna Data Analytics Lead
Future Directions and Continued Collaboration
Building on this success, Cigna plans to expand its big data architecture to include more predictive analytics and machine learning capabilities. Arina Technologies continues to provide strategic guidance and technical expertise to support Cigna’s growth and innovation in data analytics.