Brown University - Data Management Group » A Comparison of Approaches to Large-Scale Data Analysis: MapReduce vs. DBMS Benchmarks
Overview The following information is meant to provide documentation on how others can recreate the benchmark trials used in our SIGMOD 2009 paper. Our experiments were conducted on a 100-node cluster at the University of Wisconsin-Madison; each node had a single 2.40 GHz Intel Core 2 Duo processor running 64-bit Red Hat Enterprise Linux 5 (kernel version 2.6.18) with 4GB RAM and two 250GB SATA-I
Database Sharding Basics and User Rank Calculation
Overview: I will go over sharding basics and how to overcome problems like calculating ranks and inbox. Sharding is splitting your database into partitions and keeping each of the partitions on different servers. The following figure will make it more clear. Database Sharding Basic Overview What we did is, instead of keeping details of all user on one database server, we kept the users with odd us
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