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Papers & Guides

Machine Learning for Competitive Intelligence in Retail

Artificial Intelligence and Machine Learning can help retailers gain that competitive edge and innovate and that was the focus of a webinar we held recently. This white paper builds on the key points from this webinar.

2017 2018 Big Data Report WHISHWORKS
Papers & Guides

The State of Big Data in the UK 2017/2018

We asked 100 Big Data strategists, architects and users based in the UK for their input on the state of big data in 2017/2018. This report consolidates our findings.

Papers & Guides

5 Proven Steps for Retail Survival: How to Transform for a Digital World

Distilling learnings from working leaders in this space – including 2 of the top 5 global retailers, and 4 of the top 7 global CPG firms – read on to discover 5 principles that will help retailers reach their digital transformation goals and thrive in today’s competitive environment.

Infographic

Integration trends from the London MuleSoft Summit 2018

During the last MuleSoft Summit in London, we asked delegates to tell us about their progress integrating their systems and applications. Here are their answers.

Big Data Snapshot June 2018
Infographic

2018 Big Data Snapshot

We asked delegates at the recent Big Data Analytics and MapR Convergence events in London, about their progress with implementing Big Data in their organisations. Here is what they told us.

Papers & Guides

Open Hybrid Architecture for Hortonworks Environments paper

A unified hybrid architecture can bring together on-premises, multi-cloud and edge environments. In this paper we discuss the different components required to build an open hybrid architecture leveraging your Hortonworks environment.

Converged data platform reference architecture for azure deployments
Papers & Guides

MapR Converged Data Platform Reference Architecture for Azure Deployments

This document covers the architectural aspects of deploying and operating the MapR Converged Data Platform on the Microsoft Azure platform, targeting those users who have knowledge of MapR and are getting ready to deploy on the Microsoft Azure cloud.