WHITE PAPER:
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
WHITE PAPER:
Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
WHITE PAPER:
Learn more about the challenges of maintaining the visibility needed for today’s networking environments and how to address them appropriately.
WHITE PAPER:
In this white paper, discover how SAP In-Memory Appliance (SAP HANA) delivers SAP In-Memory Computing technology through an ongoing engineering collaboration between SAP and Intel to provide optimized performance and reliability on Intel architecture, including the Intel Xeon processor E7 family.
WHITE PAPER:
This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
WHITE PAPER:
This paper examines the increased business challenges in structured finance, the impact on the underlying enabling technologies, and describes how the use of Vertica’s column store, massively parallel processing (MPP) approach to database management and analytic processing can address some of these challenges.
WHITE PAPER:
Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
WHITE PAPER:
The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
WHITE PAPER:
Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
