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Why Real Time Analytics Is More Than Just Faster Business Intelligence

In many situations, the earlier we respond to incoming data the better.  This might be in a genuinely real time situation such as a self driving car, a trading system or a fraud check, or a more vanilla business scenario such as a product out of stock which we hope to inform our users about

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Moving From Batch To Streaming Extract, Transform and Load

There are many situations in Enterprise IT where we need to move, copy or integrate data.  For example, populating a centralised data warehouse or data lake, integrating two systems such as an ecommerce and CRM system, or exchanging data between partner organisations.    Moving data in this manner is referred to as Extract, Transform and

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Why Serverless Is The Future For Data & Analytics Platforms

In the bad old days, the first step when building a database, analytics or business intelligence solution would be to order or provision a number of servers for hosting.  Particularly in the data world, you would have to worry about capacity planning and over provisioning of infrastructure to account for future volumes of storage and

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