Top 3 use cases for real time streams in financial services architectures

Introduction

In the past, Big Data dominated the discussion about how companies could obtain greater value from their data. It was a mindset based on a simple premise: the more data you could store in a single location and analyse, the deeper – and more valuable – the insights you could obtain.

Sound thinking, but it ignores another value principle for data – the time value. Because it’s not about just how much you can process at once; it’s about the speed of processing. Young data can be of more value – the faster you can get a piece of data and respond to it, the more valuable it is.

A streaming platform offers a single platform to publish and subscribe, store, and process streams of data in real time, at any scale, in any environment, whether on-premise or in the cloud.

In this white paper, Confluent outlines how real time streaming is improving efficiencies in three use cases for financial services architectures.