WHITE PAPER:
Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
WHITE PAPER:
Access the following white paper to uncover expert insights on how to leverage business intelligence coupled with predictive analytics to take your customer relationships to the next level. Uncover the importance of customer intimacy and how you can achieve it easily and efficiently.
WHITE PAPER:
This white paper challenges the x86 processor trend, demonstrating that modern mainframe technology represents a scale-up option to the current racks filled with blades. It looks at the way organizations can benefit in terms of improved agility, increased reliability and cost savings by consolidating Oracle databases onto IBM’s zEnterprise.
WHITE PAPER:
This white paper contains a sampling of real business results that organizations around the world, in a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
WHITE PAPER:
This reference contains a sampling of real business results that organizations in a variety of industries have achieved by implementing Oracle Exadata. Learn how you can use Oracle Exadata to reduce IT costs through consolidation, manage more data on multiple compression tiers, improve the performance of all applications and much more.
WHITE PAPER:
To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
WHITE PAPER:
This document provides utilities with an understanding of specific challenges faced by CIOs and provides information technology (IT) decision makers with a view to the use of time series databases in getting to scale.
WHITE PAPER:
Read this white paper and learn about the intelligent software in the Oracle Exadata Storage Server that accelerates database query processing (DQP) by offloading database query processing to the storage layer.