since amazon web service need to pay, so just wanna ask ppl who had worked on it before i jump into it, and confirm some knowledge about it.
I\'m currently delving into CouchDB, and I am puzzled by the distribution of Map-Reduce computations in views. I see a lot of resources mentioning that Map-Reduce is inherently distributed, because yo
I have a large CSV file containing a list of stores, in which one of the field is ZipCode. I have a separate MongoDB database called ZipCodes, which stores the latitude and longitude for any given zip
There are two sets of URL, both contains millions of URLs. Now, How can I get an URL from A that is not in B. What\'s The best methods?
I have a collection where each document looks like this {access_key:\'xxxxxxxxx\', keyword: \"banana\", count:12, request_hour:\"Thu Sep 30 2010 12:00:00 GMT+0000 (UTC)\"}
I\'ve been following Hadoop for a while, it seems like a great technology. The Map/Reduce, Clustering it\'s just good stuff. But I haven\'t found any article regarding the use of Hadoop with SQL Serve
I have inherited a mapreduce codebase which mainly calculates the number of unique user IDs seen over time for different ads. To me it doesn\'t look like it is being done very efficiently, and I would
First, the background. I used to have a collection logs and used map/reduce to generate various reports. Most of these reports were based on data from within a single day, so I always had a condition
I\'m trying to wrap my brain around this but it\'s not flexible enough. In my Python script I have a dictionary of dictionaries of lists. (Actually it gets a little deeper but that level is not invol
I just watched Batch data processing with App Engine session of Google I/O 2010, read some parts of MapReduce article from Google Research and now I am thinking to use MapReduce on Google App Engine t
加载中,请稍侯......