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.
WHITE PAPER:
The following white paper explores the importance of data visualization in deciphering growing big data volumes. Learn why spreadsheets and other conventional data display methods cause so many problems, how visualization offers a solution, technology recommendations, and more.
CASE STUDY:
This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give.
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.
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.
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.
WHITE PAPER:
Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
WHITE PAPER:
This white paper lists the top benefits for adopting an EMC Isilon scale-out storage solution for Hadoop analytics. This solution will lower operating and capital costs while allowing for more big data analytics capabilities
WHITE PAPER:
This brief resource examines how many industries, like the video gaming industry, can use big data analytics to capture and analyze customer behavioral data in order to respond to customer demands and deliver better experiences.
