Saturday and Sunday, October 9th and 10th, 2010
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Sessions
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Creating and Consuming OData Services
Wiki Here
Speaker: Beth Massi   
Level: Intermediate   |   Room: Unknown   |   Agenda Not Made Yet
The Open Data Protocol (OData) is a REST-ful protocol for exposing and consuming data on the web and is becoming the new standard for data-based services. In this session you will learn how to easily create these services using WCF Data Services in Visual Studio 2010 and will gain a firm understanding of how they work as well as what new features are available in .NET 4 Framework. You’ll also see how to consume these services and connect them to other public data sources in the cloud to create powerful BI data analysis in Excel 2010 using the PowerPivot add-in. Finally, we will build our own Excel and Outlook add-ins that consume OData services exposed by SharePoint 2010.
Creating Office 2010 Add-ins Using SharePoint as a Data Source
Wiki Here
Speaker: Donovan Follette   
Level: Intermediate   |   Room: Unknown   |   Agenda Not Made Yet
A common request for developers is to surface internal SharePoint data within the Office client applications. This allows users to interact with SharePoint list data (contacts, calendars, custom lists, etc.) in the direct context of their document editing experience. In this session you will learn the recipe for creating these kinds of solutions, and you will understand what kinds of benefits you can bring to users. You will learn to use the SharePoint client OM and the ADO.NET Data Services (REST APIs) to access SharePoint data and present them in add-ins. The session concludes with the deployment of the add-in to a shared location so it can be accessed centrally.
Introducing Google APIs Part III (New & Exciting)
Wiki Here
Speaker: wesley chun   
Level: Beginner   |   Room: Unknown   |   Agenda Not Made Yet
The final introductory session for Google APIs covers some new and exciting APIs that are available for developers! Each talk will be about 20 minutes with 5 minutes of Q&A time afterwards.

1. Google Checkout makes online shopping faster and more secure for buyers... use it once and stop creating new accounts every time you buy. For sellers, Google Checkout helps increase sales by bringing in more customers and allowing them to buy quickly and easily with a single login. (Peng Ying)

2. Google Storage, BigQuery, and Prediction APIs are all part of our next generation cloud computing initiatives: a) Storage allows you to not only store your data in the cloud but also provides simple RESTful and command-line interfaces to access your data, b) BigQuery lets you analyze "massively large datasets,", and c) the Prediction API lets you access Google's complex machine learning algorithms to predict likely future outcomes based on your historic data. (Chris Schalk)

3. Google TV is a new device we announced at I/O back in May. It combines the traditional content of television along with the data and information available on the Internet to provide a complete "premier entertainment experience for the living room." (Andres Ferrate)

All three speakers are members of Google's Developer Relations team.
membase.org: The Simple, Fast, Elastic NoSQL Database Powering FarmVille is now an Open Source Project
Wiki Here
Speaker: Matt Ingenthron   
Level: Advanced   |   Room: Unknown   |   Agenda Not Made Yet
Here in the second decade of the 21st century, the kinds of apps we build have evolved. Techniques for storing and getting that data are starting to evolve too. The category even has a name: NoSQL. Which one should you choose though? Your site really runs on memcached, occasionally accessing a SQL database. You need SQL for some types of data access, or you fear the effort involved in breaking free from some of that legacy mapping code. Other types of data access could be serviced by something like memcached, but you would need the same speed, it would need to be compatible with current production applications and your application data has to survive the seemingly hostile environment from your cloud computing provider. You want to know that it will never make your application wait for data; you need to know that it’s been deployed for something other than batch-based workloads. Membase is a simple, fast, elastic key-value database. Building upon the memcached engine interface, it is memcapable, meaning it is completely compatible with existing memcached clients and applications. The new engine plugin and associated tools allow for persistence, replication of data, lots of statistics on data use and even streaming data for iterating over every item in the store. The founding sponsors of membase, NorthScale, Zynga and NHN recently launched a new project at membase.org under an Apache 2.0 license. Learn how to get it, about the deployments behind some of the largest sites and how you can get involved in the project.

75 min sessions
Handouts with lots of Q&A time
Hands-on demos or exercises
Chalk talks or full-on slides
Experts sharing their insights
Share with others, etc.

...and free coffee and food!
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