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Recent Success With Databricks

Over the last 6 months, we’ve been working with Databricks for a client project.  For those who aren’t aware, Databricks is a SaaS/managed version of Spark, the popular open source big data processing framework. Though we were initially sceptical about Databricks and leaned more towards DIY Spark, we had a very good experience and have now moved

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Materialised Views On Event Streams

Imagine we have a stream of events representing new orders: Much of the move to event driven architecture is about responding to these individual events and building analytics over them in order to improve time to insight and make the business more responsive. However, there will always be much more traditional requirements that we might

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Deriving Real Time Events From Legacy Systems

As we know, a lot of business intelligence and data processing within enterprises is batch based, where periodically (e.g. daily) we exchange and process large volumes of data in batches of multiple records. Fundamentally, businesses are looking to speed this up in order to use data for operational purposes, to reduce time to insight, or

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Using Real Time Data To Guide Employee Next Best Action

There has been a long held concern as to whether “Artificial Intelligence” will ultimately, replace humans en masse in the workforce. For now, this hasn’t happened, with relatively few organisations outside of Silicon Valley technology companies bringing AI & ML solutions into production, let alone to the extent they can replace large swathes of employees.

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Why Data & Analytics Become Critical Post Pandemic

It’s clear that the pandemic will lead to significant changes for businesses and the markets that they operate in. Despite a challenging 2020, these changes haven’t even begun to play out yet. Take changing consumer habits and the increased preference for transacting online for instance. This of course leads to churn as customers move to

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Why Event Driven Architecture Improves Audit & Compliance

Imagine we have a database table of customer details which sits behind a typical web application: ID Name Age Gender Address 1 Ben Smith 33 Male 1 High Street, London 2 Sue Jones 35 Female 1 Low Street, Manchester The majority of screens in the majority of business applications allow direct changes to this table,

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Big Data’s Elephant In The Room

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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How Moving From Batch To Real Time Improves The Customer Experience

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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Timeflow Demonstration Videos

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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Build Vs Buy For Real Time Event Streaming Platforms

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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