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In this talk, I will share my experience in creating and running Azure SQL Database, a large cloud scale service powered by SQL Server technologies. This presentation will provide an outline of the scenarios and requirements for a database service.
Once you've decided to move to Azure with any of your databases, you're going to need to know how they're performing, this session shows you.
While knowledge of SQL Server troubleshooting still applies to the Windows Azure SQL Database service, there are new and different features, methods, and tools that are unique to cloud database computing. Come learn about these new techniques.
When your boss sends you to a conference, she expects you to learn something useful. Like all of the buzzwords she has to explain to her boss. Make it worth her while (and budget) and bring back the info she craves.
Microsoft Codename "Data Explorer" provides a new way to organize, manage, enrich, share and gain new insights from your data.
Basic outline of SQL Azure: How SQL Azure fits in with other Azure Storage Options. Main differences between SQL Azure and SQL 2008. Brief new design challenges.
With a myriad of options available, choosing the most appropriate storage solution for your company can be challenging. This session will give you a brief introduction to the technologies available, and what to focus on when making the decision.
The SQL Server provides much functionality that increases the scalability and flexibility of your solution by distributing data and jobs among low-priced commodity servers.
All developers and DBAs make mistakes when programming in SQL Server. Learn to avoid the most common mistakes.
SQL Azure is Microsoft’s new strategy for storing your data in the cloud, but what to do when you exceed the 10/50GB limit. This is where sharding or partitioning comes into play – this session shows you how it can be done in an OLTP system and show you some of the common pitfalls of SQL azure as we have discoverd in analyzing SQL Azure as an alternative to onsite SQL Server instances at different clients.
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