Contents tagged with NOSQL
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Exploring MongoDB with F#
If you’ve been following me on Twitter, I’ve been digging a bit into MongoDB. When I was involved with the planning of NoSQLEast this past year, I sat down and used it in anger and was quite pleased with the results. Using it with a language which allows for quick prototyping such as F# has afforded me to get up and going on a project with very little effort. At some point, I don’t want to be bothered with having to go into another tool, create a schema, decide what data types, run migrations and all the fun things that come along with traditional RDBMS solutions. I just want a quick answer with the data I have. There was one issue of course that nagged me which was the ubiquitous use of strings for everything from databases, collections, and keys. With a language such as F#, could we do any better than this approach?
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[ANN] DC ALT.NET 10/22/2009 – MongoDB with David James
This month DC ALT.NET will once again move into the not often covered subjects in the .NET world, in covering MongoDB with David James. Stay tuned to the mailing list for up to date details. There has been a bit of discussion around non relational databases lumped under the name of NoSQL, especially given the upcoming NoSQLEast conference. This meeting, we'll dive into MongoDB, one of the NoSQL solutions.
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No:SQL (east) 2009
As you may have noticed, there has been a lot of talk around NOSQL “movement” lately. The name, NOSQL was created to describe non-traditional data storage engines and techniques to address concerns of data sets of horizontal scale. Innovations such as Google’s BigTable and Amazon’s Dynamo have led to a rise in a new wide variety of new technologies and ideas around pointed problems as data sets at scale, like CouchDB, Redis, MongoDB, Cassandra, Voldemort and many more. These NOSQL technologies have little unifying them together as they use such techniques as Column-Oriented, Key-Value Stores, CAP Theorem, and no one to rule them all, but underlying them is that they are different than the “traditional” RDBMS solutions of SQL Server, Oracle, MySQL and so on. These NOSQL solutions are starting to turn up in good numbers for specific use cases and not meant to be the end all solutions.