WHITE PAPER:
Read this paper for an informative guide to helping you consolidate your Microsoft® SQL Server® 2000 and SQL Server 2005 databases from multiple machines onto a single SQL Server 2008 server system.
WHITE PAPER:
This study highlights the benefits and costs of deploying the Oracle Enterprise Manager Diagnostic Pack and Tuning Pack across the enterprise of a sample organization. The study examines the estimated ROI for the sample organization and presents aggregate findings derived from the interview and analysis process and Forrester's independent research.
WHITE PAPER:
Within any business, a number of applications exist that are critical to the success of the business. As a result, these applications and the systems they run on require a higher level of availability. The trade off with increasing application availability is an additional cost in terms of redundant hardware and complexity.
WHITE PAPER:
Can you actually save more money using Toad® rather than SQL Developer - a free product? The answer is “yes!” In this surprising Quest technical brief, learn how Toad’s revolutionary new features save you time and money while dramatically increasing your productivity. Read the technical brief today.
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 guide outlines the common steps that people go through when they are interested in evaluating an open source database (e.g. one or both of the Postgres Plus products). This guide will also provide links to other documents/collateral that will help you accomplish each step. Read on to learn about these common steps in evaluation in more detail.
WHITE PAPER:
This white paper describes sizing and best practices for deploying a data warehouse in order to prevent bottlenecks and deliver a cost-effective solution.
WHITE PAPER:
Data compression features in data warehouse databases are the current trend, and this paper explains the benefits of compression in data warehousing and differentiates compression approaches taken by different databases.
