WHITE PAPER:
What’s the truth behind the failure of many BI projects? Read this paper to learn the main factors leading to disappointment. These pitfalls are not those of new entrants to BI but have been repeated by smart and well managed companies worldwide.
WHITE PAPER:
Read this paper to learn all the factors you need to consider when choosing a data modeling tool. You will learn about the different model types and how each tool measures up to the demanding needs of your company today and in the future. This paper will lay out all the information you need to make a clear decision on data modeling today.
WHITE PAPER:
This paper compares the TCO of Oracle11g and Sybase ASE 15 databases, and demonstrates Sybase as the clear winner. Read this paper to learn why enterprises choose Sybase ASE on Linux for mission-critical applications that demand lightning-fast performance.
WHITE PAPER:
Today's storage environments need a way to keep data intact without consuming corresponding disk storage. The FalconStor® File Interface Deduplication System provides the solution. Read on to discover the amazing benefits of this data deduplication solution.
WHITE PAPER:
This white paper describes a tested and validated storage solution for a 1000 mailbox Exchange Server 2007 environment with Local Continuous Replication (LCR) feature.
WHITE PAPER:
IBM has the vision, expertise, experience and product offerings that enable you to build an optimal architecture for application performance that drives business success.
WHITE PAPER:
Trade study analysis is an effective method of comparing potential solutions to a given problem. Using a model-driven approach allows you to perform trade studies before development or implementation begins and saves time, money, and development headaches. Read on to learn more.
WHITE PAPER:
Business intelligence (BI) allows organizations to integrate applications and databases essential to users and enables analysis of information to optimize decision-making.
WHITE PAPER:
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.
