TAILIEUCHUNG - Microsoft SQL Server 2008 R2 Unleashed- P214

Microsoft SQL Server 2008 R2 Unleashed- P214:SQL Server 2005 provided a number of significant new features and enhancements over what was available in SQL Server 2000. This is not too surprising considering there was a five-year gap between these major SQL Server 2008 is not as much of a quantum leap forward from SQL Server 2005 | 2094 CHAPTER 51 SQL Server 2008 Analysis Services reduced within the past year or so and the ease of transparently applying this type of solution to OLAP is a natural fit. It affects both the OLAP data population process and the day-to-day what-if usage by the end users. You should keep these types of surgical incisions in mind when you face OLAP performance issues in this platform. They are easy to apply the gains are huge and you quickly get a return on your investment. MPP Data Warehouse Option from Microsoft A few years ago Microsoft acquired DATAllegro s massively parallel data warehouse appliance company. This basically lifted any limitations for data warehousing that SSAS or SQL Server 2008 R2 itself had. Massively parallel means to scale horizontally on CPU and storage to grow with your size and processing needs. There is no practical limit here. The underlying architecture relies on standards-based technologies. Essentially there is a separation of storage and compute nodes that allows you to spread out your data across vast storage EMC storage so that it is very shallow easy to get to quickly across all data storage . The compute power is also horizontally scalable and allows any query to process data access in parallel to surface data needed by any query and assemble it for delivery . Figure shows the high-level architecture of Microsoft s DATAllegro v3 offering. Compute Nodes Dual Fiber Channel Network Storage Nodes FIGURE The DATAllegro v3 MPP architecture. Not only is the DATAllegro v3 architecture massively parallel and fast but the multinode architecture also makes it highly available. If any node fails hot spares kick in to pick up the load. Any failed node can easily be replaced and brought online with zero processing interruption. Moreover multiple appliances can be combined on a common InfiniBand backbone to create large-scale and extremely powerful multitier or hub-and-spoke data warehouses with rapid parallel data movement between

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