Difference between revisions of "Scalability"
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| − | * DataShop does not handle datasets that have 5 million transactions very well, and just does not work with a dataset that has 16 million transactions. A lot can be done for the user interface to make it usable, such as sending less data from the server. ~~ Alida | + | * DataShop does not handle datasets that have 5 million transactions very well, and just does not work with a dataset that has 16 million transactions. A lot can be done for the user interface to make it usable, such as sending less data from the server. ~~ Alida, July 21, 2009 |
* Would it be possible for me to get a random sample from the 'Bridge to Algebra 2006-2007' dataset of 100 students? I am having trouble looking at the data because it takes too long to load, and my adviser thought that was because the dataset was too large. ~~ DataShop User, 10/19/2010 | * Would it be possible for me to get a random sample from the 'Bridge to Algebra 2006-2007' dataset of 100 students? I am having trouble looking at the data because it takes too long to load, and my adviser thought that was because the dataset was too large. ~~ DataShop User, 10/19/2010 | ||
Revision as of 20:43, 1 March 2011
Status: Design Needed
User Story
As a researcher using extra large datasets (5+ million transactions), I'd like to be able to use DataShop.
Notes/Comments
- DataShop does not handle datasets that have 5 million transactions very well, and just does not work with a dataset that has 16 million transactions. A lot can be done for the user interface to make it usable, such as sending less data from the server. ~~ Alida, July 21, 2009
- Would it be possible for me to get a random sample from the 'Bridge to Algebra 2006-2007' dataset of 100 students? I am having trouble looking at the data because it takes too long to load, and my adviser thought that was because the dataset was too large. ~~ DataShop User, 10/19/2010
See completed DataShop 3.x Features
See on-going DataShop 4.x Features
See prioritized DataShop Feature Wish List
See unordered Collected User Requests
