Along with the arrival of BigData, a parallel yet less well known but significant change to the way we process data has occurred. Data is getting faster! Business models are changing radically based on the ability to be first to know insights and act appropriately to keep the customer, prevent the breakdown or save the patient. In essence, knowing something now is overriding knowing everything later. Stream processing engines allow us to blend event streams from different internal and external sources to gain insights in real time. This talk will discuss the need for streaming, business models it can change, new applications it allows and why Apache Flink enables these applications. Apache Flink is a top Level Apache Project for real time stream processing at scale. It is a high throughput, low latency, fault tolerant, distributed, state based stream processing engine. Flink has associated Polyglot APIs (Scala, Python, Java) for manipulating streams, a Complex Event Processor for monitoring and alerting on the streams and integration points with other big data ecosystem tooling.