WHITE PAPER:
This resource provides a technical overview of an in-memory analytical platform designed pull large amounts of data from existing storage systems in order to answer complex analytical questions.
WHITE PAPER:
This annual data breach cost study examines the wide range of business costs associated with a breach, including expense outlays for detection, escalation notification, and after-the-fact response.
WHITE PAPER:
Find out how NoSQL databases can help your company meet the growing amounts of data in a manageable and usable fashion for BI. This paper gives an in-depth example at how MongoDB provides NoSQL benefits, as well as leveraging data in real-time, the benefits of document-oriented data, and examples of how users have implemented this to their BI.
WHITE PAPER:
Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
WHITE PAPER:
IT professionals face new governance challenges as a result of the transformation of enterprise computing. The demand for mobile productivity is constantly growing, and IT leaders need to find solutions for mobility without sacrificing efficiency or governance.
WHITE PAPER:
Access this white paper today to better understand the importance of having affordable systems that you can rely on to run your business and systems that support the applications you need, protect your data, and help serve your customers. Read on to learn more!
WHITE PAPER:
Access this white paper to uncover key reasons why enterprises are turning to NoSQL solutions. Discover an implementation strategy, and how this shift could truly benefit you and your organization as well.
WHITE PAPER:
A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
