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Links 1 through 10 of 99 by Alex Barnett tagged DataProgrammability

In addition to a raft of added features, SQL Server 2008 includes a new edition aimed at Web hosting firms, which Microsoft is more aggressively cultivating in response to the growing demand for hosted and cloud-computing services. Microsoft also plans to move its still-in-beta SQL Server Data Services (SSDS) hosted database offering, which is currently based on an internal CloudDB powered by SQL Server 2005, to the new version shortly. SQL Server was the fastest-growing major database last year, according to market-research firm IDC, which reported that sales of the database increased 14% during 2007.

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International Conference on Management of Data Proceedings of the 2008 ACM SIGMOD. SESSION: Research Session 7: Special Platforms

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Google may be releasing BigTable, its internal database system, as a web service to compete with Amazon SimpleDB, according to a source with knowledge of the launch.

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George Moore, GM for Microsoft's Live Platform Services outlines some of the cloud based programming technologies and protocols we'll be hearing more about in the months to come, including some context around Astoria, SDDS and the role Atom will have to p

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It's obvious that ADO.NET Data Services and SQL Server Data Sources are related but they don't appear to share a common API. The current Astoria CTP supports Atom/AtomPub and JSON but not POX; SSDS only supports POX. SSDS promises AtomPub for the future a

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We have been looking for the last few months at adding first-class support for AtomPub to Project Astoria - I wanted to write a few words to explain why we think AtomPub support is important and enumerate the challenges we face. Guidance and general feedb

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Astoria gets URI syntax updates. With the convergence of using ATOM and JSON as the serialization formats, we’ve been able to converge on the URI format as well and thus we no longer have both forms - we simply have the resource set name and a comma-sep

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Get ahead of the curve and understand for your application what the consistency requirements will be. Do not start out being unnecessarily consistent. That’s a premature optimization that can bite you in many ways.

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Recently there has been a lot of discussion about the concept of eventual consistency in the context of data replication. In this positing I would like to try to collect some of the principles and abstractions related to large scale data replication and t

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