Welcome!

Microsoft Cloud Authors: Pat Romanski, Liz McMillan, Lori MacVittie, Elizabeth White, Yeshim Deniz

Related Topics: Silverlight, Microsoft Cloud, Machine Learning , @CloudExpo

Silverlight: Blog Feed Post

LINQ to SQL and Entity Framework on top of SQL Azure

All you need to do is replace the connection string that it adds to your app.Config file with the connection string

As mentioned in my previous blog post, you don't get full designer support on SQL Azure within SQL Server Management Studio. In addition, you don't get designer support for LINQ to SQL or Entity Framework, either. So what do you do if you want to take advantage of these awesome object mapping tools but the designers don't work directly against the cloud?

Conveniently enough, if you follow the tips in the previous blog post, you would have already created a local copy of your SQL Azure database. The "trick" (not really a trick at all, just not immediately obvious) is to point your EF or LINQ to SQL Visual Studio projects at your local database. This will give these mappers the schema and relationship information they need in order to create the appropriate conceptual<->relational mappings.

For LINQ to SQL, all you need to do is replace the connection string that it adds to your app.Config file with the connection string supplied by the sql.azure.com portal. Remember to include your password in this connection string because the portal copies a version of this string to your clipboard with the password of myPassword. At this point you should also be thinking to yourself, "Wow, I just put a cleartext password in a .config file. It's a really good thing that this code isn't going to sit on someone's desktop and will be protected in the cloud."

With Entity Framework, the connection string is a little more complicated. There's some entity stuff in there that points to the various model definition files in the project and then there's an embedded connection string. Replace the embedded connection string (take care to maintain the escaping of nested quotes, etc) with the one the SQL Azure portal supplied and change the password to reflect the right password.

At this point you should have been able to generate a model from your local database and then change the connection string so that the actual data comes from the cloud database. It might seem a little inconvenient but it isn't really all that bad. It just adds a few extra steps to your SDLC when you need to change the schema of a live application.

The feeling I got when I ran my first LINQ to Entities query against a cloud-based SQL Server database was overwhelming. Sure I love new technology as much as the next guy, but the possibilities that are being opened for developers by Windows Azure and cloud computing in general are so numerous it's hard to contain myself.

This is a damn good time to be a developer.

Read the original blog entry...

More Stories By Kevin Hoffman

Kevin Hoffman, editor-in-chief of SYS-CON's iPhone Developer's Journal, has been programming since he was 10 and has written everything from DOS shareware to n-tier, enterprise web applications in VB, C++, Delphi, and C. Hoffman is coauthor of Professional .NET Framework (Wrox Press) and co-author with Robert Foster of Microsoft SharePoint 2007 Development Unleashed. He authors The .NET Addict's Blog at .NET Developer's Journal.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...