Data Lake Implementation (Health Care)

Challenges
  • Rapid expansion and complexity in data volume
  • Newly acquired business units and partners deliver diverse data inputs
  • Need centralized repository for both structured and unstructured data — at scale
  • Templates, well architected solutions missing
Industry: Finance

Top North American Private Lender (Multi-Locations)

Solution
  • Data Lake solution feeding Data Warehouses and BI analytics in AWS
  • Use of a data pipeline pattern involving source files, S3, AWS Glue, Redshift, Quicksight and Athena (with S3)
  • AWS Security Best-Practices for data security and HIPAA Compliance
Benefits
  • Data is now segmented into value streams: operational, security, application, customer
  • Different data types are now collected and analysed (structured, unstructured, semi-structured)
  • Data storage is optimised