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Customer Key Facts

  • Location : North America
  • Industry : Information Technology & Services

Problem Context

The customer is a healthcare insights provider that works on large-scale, sensitive, unstructured customer healthcare data. They needed a healthcare insights cloud platform that can be used by both payers and providers to manage their native data management solutions.

Challenges

 

  • Providing data lifecycle functions as scalable connectors exposed in the form of REST API to the end users
  • Handling extremely sensitive healthcare data and ensuring legal compliance
  • Ensuring ingestion of huge unformatted data in stipulated time frame and in a fixed format, with minimal errors
Challenges

Technologies Used

Apache Spark
Hortonworks Data Platform
Apache Hive
Apache Kafka
Terraform
Amazon RDS
Amazon Elastic
Amazon EC2
Amazon Redshift Spectrum
Amazon S3
Amazon Kinesis

Data Lake Platform for Distribution and Insight Generation

Solution

Quantiphi helped the customer build out the entire platform that hosts the data lake as well as build out the endpoints for data distribution. The platform enables its customers to increase operational excellence of their data assets by centralizing siloed and unstandardized data from legacy systems, enabling better care and enhanced experience for their patients at lower costs.

Results

  • Increased operational excellence
  • Secure data management platform

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