Deutsche Bank's Serverless Trade Surveillance system

An investment bank like Deutsche Bank must recognize and prevent market manipulation and abuse, even though financial regulation is wide. 

Trade surveillance requires a distributed computation framework like Apache Spark to store and interpret massive amounts of data.

BigQuery, Google Cloud’s serverless data warehouse, and Dataproc, a managed Apache Spark service, can enable data-heavy corporate use cases like trade surveillance

BigQuery now provides trade, market, and reference data to data users like Trade Surveillance

In BigQuery, Spark, Dataproc, and other technologies, trade surveillance business logic is executed as data transformations.

Cloud Composer, a managed Apache Airflow workflow orchestration solution, orchestrates ETL procedures for trade surveillance scenarios and effectiveness calibrations.