EGUIDE:
Deep learning can help companies operate faster and more efficiently. In this 13-page buyer'sguide, Computer Weekly looks at the advanced tools available for developers building intelligentapps, the frameworks that can be used and the kit that can enhance a programmer's toolbox.
CASE STUDY:
Kennaw State University needed faster, easier data access, analysis and reporting. See how they transformed HR processes to eliminate errors, saved hundreds of hours annually on HRMS, benefits and payroll services, and how they leveraged self-service business intelligence to non-technical users.
VIDEO:
There's value in big data for every organization, no matter the size or industry. But not every business has been able to reap the benefits completely -- only about 1% of companies (usually the big players) have been able to extract real value. That is, until now.
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 resource introduces Hadoop strategies that can address the requirements of big data – allowing your organization to optimize performance for deep data mining and analytical power.
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.
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.
EGUIDE:
As with anything, it is important to start off your CRM initiative on the right foot. The only way to do that is by understanding everything this technology has to offer. From common features to the latest trends, this comprehensive guide breaks down everything you need in order to get started with CRM.
WHITE PAPER:
Access the following e-book to uncover the tools and strategies you need to get the most out of big data. Learn from leading authors in the field of data management as they explain some of the common mistakes made by analytics professionals while mining for new insights and what you can do to avoid them.
