Read this eGuide to discover the fundamental differences between iPaaS and dPaaS and how the innovative approach of dPaaS gets to the heart of today’s most pressing integration problems, brought to you in partnership with Liaison.
Big Data continues to evolve with an increasing number of solutions running in-memory with real-time data processing. The combination of real-time data and processing, and real-time actions defines the new category of Streaming Analytics. Streaming Analytics responds to customer (or devices) in real time, with offers on a website, a SMS message, or even an outbound call from a customer support center.
Steaming Analytics begins with a combination of events that define a scenario, which triggers a real-time action. Scenarios include real-time activities, and can include historical data, and include criteria such as a time window:
Once scenarios are defined, data sources are identified and “listeners” are integrated that identify and parse events, and deliver formatted messages to the event processing engine. The processing engine contains the business rules for each scenario, and provides scenario recognition in milliseconds, triggering the corresponding action.
Real-time event strategies can include virtually any data source, such as network events, system reboots, calls, web session activity, geolocation, and can be enhanced with historical data from CRM and other systems.
Chief Analytics Officer Spring 2017
15% off with code MP15
Big Data and Analytics for Healthcare Philadelphia
$200 off with code DATA200
10% off with code 7WDATASMX
Data Science Congress 2017
20% off with code 7wdata_DSC2017
20% off with code AIP17-7WDATA-20