The Hortonworks Connected Data Platform, serves as the unifying system for enterprises looking to power data processing and predictive analytic applications that leverage both Data In Motion along with Data at Rest with agility and flexibility.
The Data in motion capability is provided by Hortonworks Data Flow (HDF), which is powered by Apache NiFi.
HDF allows organizations to deliver instant insights by –
The Data at rest capability is provided by Hortonworks Data Platform (HDP), which is powered by Apache Hadoop.
HDP allows organizations to –
Together these two platforms constitute a modern Connected Data Platform. The capabilities powered by the Connected Data Platform enable financial services organizations on their journey to critical business capabilities such as fraud detection.
At the 2016 Hadoop Summit in Dublin, we revealed a demo of how HDP can be used for credit card fraud detection.
While traditional fraud detection systems have focused on looking for factors such as bad IP addresses or unusual login times based on business rules and events, the Connected Data Platform renovates such an approach by enabling machine learning capabilities at scale. The journey as depicted below, involves helping customers with proactively identifying fraudulent transactions prior to the occurrence of fraud thus improving the customer experience.
The Connected Data Platform
The architecture of the overall demo solution as shown at 2016 Hadoop Summit in Dublin, is shown below.
Apache Zeppelin is leveraged to create a data driven & interactive user interface that enables advanced predictive analytics & visualization as depicted below.