Dave Campbell: SQL Server Data Services and the Future of Data in the Cloud

Despite difficult theme of parallel algorithm computing, this talk delivered developers friendly knowledge of parallel data management. Supercomputing database language parsers and engines may have this I/O capability, and .NET
languages are bound to constitute parallel processing algorithms. For developers business investment, given Parallel language and processors should have to expose extensibility points where .NET developers consider .NET Remoting and Web Services as an
area of distributed computing and extensible execution stack to include parallel.
Likewise Windows kernel level thread context management, PLINQ may supply fine granular data access management for managed Threads, on the other hand Windows Clustering and Virtualization may take up supervisor on clustering nodes,
and Web Farm and Data Grid may do load balancer similarly.
Development partners should be thankful for fine logical explanation of new ideas PLINQ.