Client Overview

  • One of the top 10 banks in  the US. One of the first use cases for Hadoop in banking

Business Need

  • Off-load the primary EDW running on Teradata as it was running out of capacity and performance was slow.
  • Create a modern data architecture using Hadoop to add the ability to integrate unstructured data

Solution

  • Modern data architecture with Hadoop as the central source of truth
  • Data from mainframes was pulled into Hadoop
  • ETL jobs migrated from Teradata to Hadoop to reduce load on Teradata, increase its performance and prolong its life

Benefits

  • Teradata performance improved dramatically after data and jobs off-load
  • Savings of over $100 million over 5 years estimated by customer
  • Custom, sophisticated libraries provided enhanced functions in Hadoop