For the best experience, try the new Microsoft Edge browser recommended by Microsoft (version 87 or above) or switch to another browser Ė Google Chrome / Firefox / Safari
OK

Ab Initio ETL Workload Migration to Apache Spark for a Bank

X M
Xoriant Marketing
Xoriant-Banking-Success-Story-Ab-Initio-ETL-Workload-Migration-to-Apache-Spark

Client Background

  • Our client, a leading Fortune 100 company, is a global diversified financial service holding company with multiple business divisions.
  • The client used Ab Initio business intelligence platform for regulatory reporting and analysis. The powerful GUI-based parallel processing tool was used for Extract, Transform and Load (ETL) data management and analysis.

Xoriant Solution | Key Contributions

  • Xoriant BFSI team collaborated with the client‚Äôs engineering experts to understand vital information in setting up the ETL for data processing used for regulatory reporting and analysis. 
  • Developed a solution to help process metadata and job scheduler to reduce the use of Ab Initio with parallel and multiple rollouts.
  • Built a scalable and configurable framework for data ingestion with different modules and components using Java, Spring Boot, Apache Spark 2.4, Apache Hive, Avro file format and Oracle.

Key Benefits

  • Achieved close to 80% faster ad hoc report execution
  • Reduced 75% storage costs with the use of the framework.

 

Register Here To Download The Entire Case study
Please fill in the below details to access the entire Case study
Image CAPTCHA
Enter the characters shown in the image.