A multinational banking and financial services company, with 3000+ offices in 60+ countries and around ~40 million customers.
Validating huge amounts of masked data
Lack of end-to-end (E2E) dynamic and heterogeneous systems
Complexity of staging, ETL (extract, transform, and load), and Hadoop transformations
effort saved by using text-to-text comparator (RDBMS to Hadoop comparator)
End-to-End testing solution for Anti-Money Laundering (AML)
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Our testing solution is comprised of an open source automation stack, which handles data conversions, data comparisons and connecting to different layers of the Hadoop ecosystem.
Infosys introduced many innovation in this project like Hive Output Formatter (HOF) and Transformation Traceability Matrix (TTM)
Our End-to-End testing solution for Anti-Money Laundering (AML) has the following key primary components: