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.
EGUIDE:
In this expert e-guide, count down 12 common myths and misconceptions surrounding Hadoop and big data. Also inside, find insight into the challenges and hardships associated with Hadoop – read on to get started now.
WHITE PAPER:
This resource introduces an advanced analytics tool designed with the midsize business in mind – allowing you to affordably get the answers you need with the data you have. Read on to learn more.
WHITE PAPER:
While businesses everywhere are focused on the volume, variety, and velocity of big data, they are discounting what is arguably the most important element – value. View this paper to learn how you can enhance the accessibility and analysis of your data to maximize its business value.
WHITE PAPER:
This resource offers guidance to help you navigate the business intelligence (BI) marketplace, and introduces a BI platform that can help meet your business needs. Also inside, find eight key motivators you should consider when choosing a BI tool.
VIDEO:
In this short video, discover the latest from Oracle's analytics platforms, a system that balances between low TCO, short deployment time, eminently agile and scalable, and end-user oriented.
WHITE PAPER:
This brief resource profiles a storage and analysis approach that can help your organization meet the challenges of today's data-intensive business world and achieve a competitive edge. Read on to learn more.
WEBCAST:
Depending on the approach that your organization takes, big data can be either a golden opportunity or a significant business obstacle. This webcast explores information management in the new era of computing, and outlines a strategy that will enable you to reduce costs, improve decision-making, and more.
WHITE PAPER:
This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.