The Microsoft Certified Masters Program for Microsoft SQL Server provides the most experienced and talented IT Professionals with worldwide validation and recognition of their deep technical expertise in SQL Server. The SQL Server 2008 Microsoft Certified Master program has been re-launched in a more scalable format because of the increased interest and global demand for the program. For more information, see the Microsoft Learning SQL Server 2008 Microsoft Certified Master program site. SQL Server 2008 MCM Readiness Videos
We've asked What The Heck Are You Actually Using NoSQL For?. We've asked 101 Questions To Ask When Considering A NoSQL Database. We've even had a webinar What Should I Do? Choosing SQL, NoSQL or Both for Scalable Web Applications. Now we get to the point of considering use cases and which systems might be appropriate for those use cases.
Over the last couple years, we see an emerging data storage mechanism for storing large scale of data. These storage solution differs quite significantly with the RDBMS model and is also known as the NOSQL. Some of the key players include ...GoogleBigTable, HBase, HypertableAmazonDynamo, Voldemort, Cassendra, RiakRedisCouchDB, MongoDB These solutions has a number of characteristics in commonKey value storeRun on large number of commodity machinesData are partitioned and replicated among these machinesRelax the data consistency requirement. (because the CAP theorem proves that you cannot get Consistency, Availability and Partitioning at the the same time)The aim of this blog is to extract the underlying technologies that these solutions have in common, and get a deeper understanding on the implication to your application's design. NOSQL Patterns
When SSDs Make Sense in Server Applications In past posts, I’ve talked a lot about Solid State Drives. I’ve mostly discussed about why they are going to be relevant on the server side and the shortest form of the argument is based on extremely hot online transaction processing systems (OLTP). There are potential applications as reliable boot disks in blade servers and other small data applications but I’m focused on high-scale OLTP in this discussion. OLTP applications random I/O bound workloads such as ecommerce systems, airline reservation systems, and any data intensive application that does lots of small reads and writes, usually on a database where future access patterns are unknown. When sizing a server for one of these workloads, the key dimension is the number of small random I/Os per second.
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SQL Server 2005 and 2008 - Backup, Integrity Check and Index Optimization
The SQL Server Conference - SQLBits - Query across the Mersey - 29 Sep 2011 - 1 Oct 2011 - Liverpool