This large regulator wants to leverage the best that big data and cloud technologies has to offer for processing and monitoring their trade, risk and market data.
Automate and standardize the existing ad hoc and manual intensive data ingest process that involves petabytes of disparate data sets from their 4100 member clearing firms.
Technologies: Hadoop, Hive, Apache Spark, Impala, Python, MapReduce, SQL, Java, Tableau, Netezza, Greenplum.
Provides an automated and integrated analytics platform to monitor trade issues and misconduct around trade activity handling large volumes of data.
Creates a robust and interactive analytic platform that can adapt and support changing market dynamics and needs.