Reduction in time to market
Estimated spend reduction per month
Meeting SLA efficiency
The client is a large insurance company that had its data stored on over 20 systems and in multiple formats which resulted in data duplicity.
Amazon Lambda
Hadoop HDFS
Apache Ranger
Apache Atlas
Apache Knox
Hortonworks Data Platform
Quantiphi migrated their data from multiple on-prem data sources to cloud. A cost-effective and scalable centralized data lake platform was then built on cloud by setting up an ingestion pipeline with security protocols; further enabling them to visualize and draw insights in real time.
In the platform, billing alerts were enabled for any threshold violations, AWS Lambda functions were used to start/stop services as per business hours, and AWS Glue was used for fully automated and highly scalable heavy ETL jobs.
