WEBCAST:
View the following webcast to uncover what you need to know about big data 2.0. Uncover the 6 building blocks of big data 2.0 that drastically differentiate from big data 1.0. Also gain insights to the ways successful organizations are leveraging new analytics to capitalize on big data 2.0 and much more.
EGUIDE:
Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
EBOOK:
With SAP HANA at the center of its marketing focus, SAP is quickly finding that it is customers -- and not the C-Suite -- that will dictate the success of the in-memory database platform.
EGUIDE:
In this e-guide, experts explain various features and benefits of AWS such as on-demand, reserved and spot instances and which one will fit your needs. Inside, learn why Amazon's new Redshift data warehouse is creating a biz buzz among IT pros.
EZINE:
The once insurmountable barriers to buying and applying BI big data analytics tools have lowered dramatically, allowing companies of all sizes to benefit from the products.
sponsored by HP and CenturyLink Technology Solutions
EGUIDE:
This e-guide describes the likely paths of SAP Business Warehouse (BW) and HANA and outlines three possible scenarios for their convergence, or lack thereof.
WHITE PAPER:
Access the following white paper to uncover an analytics solution that is helping banks compete with their larger counterparts. Discover how you can gain the critical analytical insights from your data—fast—when you need it and where you need it, all while saving capital to push towards innovation
EBOOK:
The array of NoSQL databases available to organizations can be overwhelming. With this guide, learn how to determine whether the technology is right for your organization.
EGUIDE:
Access this expert e-guide to get real-world strategies and advice on how best to manage your big data warehousing and processing, and common pitfalls to avoid.
