For many years, “Big Data” was a major buzzword in enterprise IT. The theory was that as data volumes grew, we would need different approaches to ingest, store, process and analyse this data and turn it into competitive advantage. Responding to this, many enterprises implemented the associated technologies and architectures – Hadoop, Hortonworks, Datastaxx, MapR,
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Over time, the typical business acquires more and more applications. Some will be bespoke, some off the shelf, some cloud hosted SaaS tools and some in the data centre. Frequently, business requirements will arise where these applications need to be integrated. For instance, every time an order is placed on our eCommerce website, a customer
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In recent weeks, we’ve released a number of videos demonstrating Timeflow, our software as a service platform for real time event stream processing. The first two videos show how we can use Timeflow to capture real time business intelligence and operational metrics, based on streaming event data from multiple systems. In these videos we use
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Over the next few years, many businesses are going to be building real time streaming data platforms. The aim will be for data to stream in from many sources and be available earlier for analysis or to power user experiences or business processes in real time. Most of these event streaming architectures will follow a
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