Business Intelligence on the cloud

Business intelligence applications can build highly available, highly scalable, high-performance supercomputers using distributed computing and the integration of low-cost computers. This is an efficient response to real-time mass data analysis in business intelligence applications.

The architecture that implements cloud intelligence requires the following three parts:

Distributed data Storage framework: Data Warehouse, database, closed system (SAP, etc.) of the data stored in the cloud step-by-step.

Real-time Distributed Data Computing framework: The computation is decomposed into the cloud, the results of each grid are merged and the results are returned.

Distributed computing Management framework: Configuration management, system resources internal audit, system resources optimization and so on.

Style FDI Agile Business Intelligence platform to do real-time data analysis for many years, must be in the field of real-time data analysis breakthrough, we use cloud computing to maintain the product's continued lead.

From the test data, GB-level data, 35 PCs can achieve a good response, response time is at the fraction second level. Terabytes of data, requiring more PCs to achieve this response speed.

The Style FDI Agile Business Intelligence platform is used to build SaaS applications on Salesforce.com, with two machines directly, with significant performance gains. Performance improvements are at least 10 times times higher than data warehousing or database access.