Thursday, March 12, 2009

Shrimp Risotto Diablo

SQL SERVER Project codename "Madison"

About

warhousing Enabling data for companies of all sizes

The ability to scale the size and performance of a data warehouse to meet expectations increased business intelligence can have an impact on a business success and future viability. In fact, companies no longer take advantage of BI and data storage may be at a disadvantage.

Today, companies with large data warehousing needs a growth path that can accommodate exploding volumes of data for morning, without an exponential increase in the costs of data warehousing.

When the data marts are distributed through the company, success depends on IT's ability to implement these standards through data marts and improve integration and interoperability of different sources.

Finally, medium-sized companies require a platform that makes economic sense today as we scale beyond terabytes and as they grow.

Project "Madison"

Hardware and Software Solution for Microsoft's collaborative high-quality data warehousing.

  • Project "Madison" uses the concept of massively parallel (MPP) to significantly accelerate performance and scalability, while working in the industry-standard hardware to keep costs down.
  • Project "Madison" MPP architecture takes advantage of industry standard servers, storage and networks and parallelized several BI workloads across multiple instances of SQL Server.
  • enterprise-class architecture has no single point of failure and a component of integrated redundancy for all levels.
  • Scale your SQL Server Data Warehouse to tens, hundreds and thousands of terabytes. Enable BI
  • widespread across the enterprise, based on a fully integrated platform, from the origin the data warehouse to the desktop.
  • provide a hub-pointer data warehousing solution for heterogeneous user groups in different Data Marts
  • Enjoy a lower total cost of ownership for DW competitive solutions.
  • Select a configuration that makes the most sense for companies, based on variables of speed, scalability and cost

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