New-age Transactional Systems - Not Your Grandpa's OLTP
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
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Posted by James Cox on Jun 20, 2007
Sometimes, in more complex projects, a rift builds: the developers do their best to interpret the business logic the customer demands, but inevitably fail to bridge that gap. It's a solid bet that most InfoQ readers will have experienced this in some format or another in their work life. As always with Ruby, there is another way. Domain Specific Languages - DSLs - provide the backdrop to create business focused syntax that better matches customer needs.
To help you get to grips with creating your own DSL, Obie Fernandez (InfoQ's lead Ruby editor) shows you how to build a draft DSL implemented via Test Driven Development in our exclusive presentation from the JAOO conference in Denmark, which is a top tier yearly developer conference.
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Very informative and relevant. I wish the slides synced better with the presentation, however!
I had already listened to Obie's great RoR podcast and I was so looking forward to seeing the financial organization's dsl code instead of having to imagine it. Then, no slide transition and thus code :(
Is there a full soft copy of the sides somewhere so I can manually go from slide to slide and get the full content?
Is it possible some of the slides are removed for confidentiality reasons? Even if this is the case some of the missing slides do not fall into that category, e.g. the favs xml.
If you want to see a better way to record presentations go to rubyhoedown2007.confreaks.com and see how they record both the presenter and the presentation.
And FYI they are going to RubyConf 2007, so if you can't make it they will have the video for free under the creative-commons license.
John Hugg discusses high volume transaction processing applications with high and low frequency profiles, and how VoltDB can be used for that purpose.
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Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.
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