All Case Studies

Migration of ETL Process to On-Premise

As a part of implementing modern data processing architecture, a Fortune 500 Financial Services company required a flexible, cost effective solution for migrating its Threat Matrix ETL process from the on-premise enterprise data management environment to On-premise Hadoop cluster.

99%

LOADING ACCURACY

Running in Production with 99.99% accuracy of data loads

99%

Customer Loyalty

Customer committed to leveraging Hydrograph as enterprise solution for development of ETL jobs

91%

EFFICIENCY MATCH

Reduced cost and performance matching the existing tool

Bitwise - Migration of ETL process to on-premise

CHALLENGES

  • Implement modern data processing architecture using big data technologies.
  • Reduce the cost by replacing existing ETL tool Ab Initio due to associated licensing cost.
  • The target ETL tool needed to provide an easy-to-use development environment that required minimal retraining for developers, while delivering robust capabilities for matching the performance of Ab Initio.

SOLUTION

  • Bitwise provided Hydrograph, an ETL development tool designed for the big data ecosystem that provides a GUI environment with Drag-and-Drop functionality that developers are familiar with
  • The solution was developed to run on On-premise cluster with Hive as the target Data Store
  • Solution provided performance matching the Ab-Initio with reduced cost and ease of use

TECHNOLOGY

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