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:
Read this overview brief to learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP), and mixed workloads.
WHITE PAPER:
Access to mission-critical applications is more important than ever before. Fortunately, the latest version of SQL Server offers a whole host of availability enhancements that make this critical objective easier to meet. This white paper elaborates on these new capabilities and describes the key architectural components required to enable them.
WHITE PAPER:
Access this paper to see how a leading acceleration system combined with SQL Server in-memory OLTP improves customer experience by boosting system response time and business productivity.
WHITE PAPER:
This white paper highlights three top ways storage virtualization can help you cost-efficiently tackle some of your toughest challenges associated with data growth.
WHITE PAPER:
Choosing the right hardware for your virtual environment can be a painstaking process, especially since it is difficult to predict how a platform will perform once it is deployed. This white paper examines one hardware configuration and measures the number of orders per minute and virtual machines it can support.
WHITE PAPER:
Exadata Smart Flash Cache is the fundamental technology of the Sun Oracle Database Machine Full Rack that enables the processing of up to 1 million random I/O operations per second (IOPS), and the scanning of data within Exadata storage at up to 50 GB/second. Read this paper for more.
WHITE PAPER:
This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
WHITE PAPER:
This white paper explains how by partitioning databases based on the lifecycles of the information and compressing historical data, IT departments can reduce their dependency on high-end storage, reduce their incremental storage costs, keep more data online for longer periods, and improve the performance of applications.