300

  • Architecting for Massive Scalability

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    The Cloud now makes seemingly infinite amounts of computing power accessible to everyone. However, to maximize this power, your applications need to scale. In this session, we will explore patterns that enable massive scalability. We will examine Brewer’s CAP Theorem and contrast it to the ACID principles that guide traditional LOB applications. And finally, we will explore how to apply these patterns when building applications for the Cloud using Windows Azure.

    Level: 300

    Speaker: Eric Boyd

    Topics: Architecture, Azure & Cloud

  • Introduction to Data Mining with SQL Server Analysis Services

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    While this topic is listed as an introduction and perhaps doesn’t have a catchy title, the effort to use statistical analysis and algorithms to peer into data does take a ‘deep dive’ approach. Luckily, Analysis Services provides us with some easy-to-use tools, making the use of data mining outcomes easier to approach. In this session, attendees will learn basic data mining methodology, learn the Analysis Services tools, and gain an introduction to the various algorithms used by SQL Server data mining. Additionally, the creation of prediction queries will help developers put to use information that might otherwise be more difficult to come by, or perhaps even avoided.

    Level: 300

    Speaker: Dean Furness

    Topics: Database Development