INFOGRAPHIC:
Big data is driving changes in how organizations process, store and analyze data. The benefits are spurring even more innovation. In this infographic, we take a look at four major trends in big data for 2022.
EGUIDE:
The key to success is being able to use the data you collected to develop effective CEM strategies. In this expert e-guide, explore how organizations from multiple industries are leveraging insights from data analytics to develop effective customer experience management strategies and give their businesses a boost.
WEBCAST:
Access this live webcast on January 30, 2014 at 12:00 PM EST (17:00 GMT) to learn how you can use big data tools and technologies to extend security intelligence – allowing you to protect massive data volumes and uncover hidden threats.
Posted: 15 Jan 2014 | Premiered: Jan 30, 2014, 12:00 EST (17:00 GMT)
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:
This technical white paper describes the deployment of Intel® Distribution for Apache Hadoop on Dell PowerEdge Servers. Read on to learn how to streamline Hadoop implementation, optimize big data management, and more.
WHITE PAPER:
Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
EBOOK:
Based on a survey of more than 3,000 IT and business professionals, this exclusive benchmark report provides insights on predictive analytics deployment trends. Uncover key findings on implementation status, project steps, most important features, and much more to guide your own analytics strategy.
WHITE PAPER:
This brief resource introduces an open source software platform that includes Hadoop components for distributed processing and big data management.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.