EZINE:
In this week's Computer Weekly, we look into Apple's controversial plans to build a huge datacentre in a small town in the west of Ireland, and the local arguments it has caused. We find out how the Met Office is managing its vast quantities of weather data. And we examine Google plans to bring AI to the recruitment market. Read the issue now.
EGUIDE:
In this guide, we provide the 10 most important things you need to know about GDPR, and a jargon-buster explanation for some of the key terminology.
EZINE:
In this week's Computer Weekly, we find out how data scientists at online grocer Ocado are using machine learning technology to deliver better customer service. Manufacturing giant GE is making a play to become a top 10 software supplier. And we examine the future of server operating systems as workloads move to the cloud. Read the issue now.
EGUIDE:
In this expert e-guide, explore the reasons many businesses are hesitant to put BI systems in the cloud, including security and compliance concerns, and why the time to start evaluating BI in the cloud is now. Read now to discover Wayne Eckerson's top six considerations before jumping into a cloud BI project.
WHITE PAPER:
This resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
EGUIDE:
In this e-guide from the experts at SearchDataManagement.com, learn about the rise of NewSQL database systems – which combine SQL and NoSQL elements – and the key benefits that these database alternatives offer.
WHITE PAPER:
Today's business intelligence platforms are expensive, labor-intensive to maintain, and have a low adoption rate with business users. This resource introduces an out-of-the-box BI tool that conquers these challenges – read on to learn how.
WHITE PAPER:
This brief resource introduces the first cloud service for the entire data pipeline. Inside, learn how this strategy can help you acquire, store, and analyze customer information and big data.
