Case Study: AMD achieves faster data warehouse performance with Microsoft SQL Server Parallel Data Warehouse

AMD Boosts Data Warehouse Performance with Parallel Processing Appliance

AMD, a global semiconductor manufacturer, faced challenges with its data warehouse, which was struggling under the load of processing nearly one terabyte of test data each week. This led to slow performance, data latency issues, and an inability to meet analyst demand. To address this, the company turned to Microsoft Corporation for a solution using the Microsoft SQL Server 2008 R2 Parallel Data Warehouse appliance.

Microsoft implemented its Parallel Data Warehouse solution, which provided massively parallel processing to handle AMD's large data sets. The results were significant: data-loading performance improved dramatically, the system now processes over 10,000 queries daily, and storage costs were cut by three to six times due to compression. Microsoft's solution also reduced data warehouse support time by an estimated 90 percent, enabling AMD's analysts to access data faster and focus on their core work.

AMD

Renjye Yu

Senior Manager