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 resource evaluates the adoption of enterprise-wide, production-ready big data tools using market data from Forrester Research and a custom study from CenturyLink Technology Solutions.
EBOOK:
Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.
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)
WHITE PAPER:
This resource introduces a data management and analytics approach that gives you the power to harness customer information to improve experiences and meet constantly changing consumer expectations.
EGUIDE:
This expert e-guide explores why creativity is becoming a critical skill for finance professionals, and offers key recommendations from a leading CFO to help you successfully move forward.
WHITE PAPER:
This brief resource introduces an enterprise distribution of Hadoop that takes the pain out of big data management. Read on to learn how you can perform interactive big data analysis, accelerate big data cluster deployment, and more.
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.
