I've been reading on distributed systems for processing on large graphs. The most prominent examples include Pregel (developed by Google) and Apache Giraph. Most of these systems argue their existence ...
Hashing by doing modulo $m$ for $m=p^2$ for a prime $p$ instead of using a prime $m$ - is it that bad?
I am doing an exercise from a Big Data course I'm taking on Coursera (this exercise is for experimenting with a big-data problem and is not for any credit or homework) , the assignment was described ...
I have a 20-dimensional dataset, with a large amount of data points. I would like to have each dimension discretized into bins. Per bin, I would like to be able to access two neighbours per dimension ...
There are a number of collections of network (or graph) data sets freely available on the web, e.g. http://snap.stanford.edu/data/index.html http://www.cc.gatech.edu/dimacs10/downloads.shtml I am ...
If I have a large random array of 0s and 1s that I want to sort what kind of an algorithm and data structures should I consider?
What are the types of things that need to be considered if I need to sort a large random array of 0s and 1s? You can assume large array is in the order of million or billions. I understand there ...
I need to create a bloom filter of 208 million URLs. What would be a good choice of bit vector size and number of hash functions? I tried a bit vector of size 1 GB and 4 hash functions, but it ...
Is there any book or tutorial that teaches us how to efficiently apply the common algorithms (sorting, searching, etc.) on large data (i.e. data that cannot be fully loaded into main memory) and how ...