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Jan
6
comment Python in Big Data?
I have added some details about user data in the question. Please see them for further details. Also thanks for your valuable remark but I believe quite intensive computing methods like parrallel computing and map-reduce would be necessary to use because of steep growth in data and computation with time.
Jan
6
comment Python in Big Data?
Each user has about 3gb of data. Users are grouped based on their family and friend circles and the data is then analysed to predict important information and co-relations out of that. Currently I am talking about 10,000 users and will be rapidly increasing number of users.
Jan
6
comment Python in Big Data?
Well Hadoop seems pretty solid option, but now I am confused whether using python with hadoop (inherently developed in Java) will severely effect performance of computation! I would be thankful if you can lay some light on it. Also is their any map reduce application inherently built for python?
Jan
5
comment What aspects make websites load faster?
To speed up website loading time try to focus on reducing data size of images and use intelligent methods of generating bigger image by using smaller elements to reduce net size of these images. Another way to reduce load time and to speed up is use gzip compression as many new browsers support it. Other then that after certain traffic the server configuration and other server and network resources will start to act as bottleneck!
Jan
5
comment Securely changing system configuration from a web application
Go for abstraction layer method. Make a python library which contains restricted list of functions(that you want admin to perform from web interface). This library then calls more privileged services. But to make it perfectly secured you will have to consider sandbox type system. So if you use SELinux try to use its inbuilt sandbox. Such techniques have been inherently implemented in various system these days!