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.
WEBCAST:
Social networks have revolutionized the way that today's customers gain information and make buying decisions. This brief video introduces a social enterprise service that enables your organization to effectively harness and exploit social information.
WHITE PAPER:
Access the following white paper to learn how data visualization can drastically improve how well a company can handle data. Learn how visualization can help dig deeper into data, grant an improved market presence, and more.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
EBOOK:
This guide offers expert advice to help you get started with offloading your EDW to Hadoop. Follow these 5 steps to overcome some of the biggest challenges & learn best practices for freeing up your EDW to do the work it was meant to do: provide the insights you need through high-performance analytics and fast user queries.
WHITE PAPER:
Access the following white paper to uncover a business intelligence and analytics solution that can deliver the ability to intuitively collaborate actionable insights throughout the enterprise, analyze data and patterns within seconds, not days, and much more.
EZINE:
The hype around data mining may have receded, but it remains a critical discipline for the data scientist. This issue of CW Europe looks at what exactly data mining is, how and when it is used – and why it should not be mistaken for business analytics.
EGUIDE:
Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.
EBOOK:
When large information sets are in transit, bottlenecks inevitably occur. CIOs must overcome these obstacles in order to extract real value from their data. In this SearchCIO handbook, we confront the obstacles posed by big data in motion.
