MongoDB. MMS » Login. Yet another MongoDB Map Reduce tutorial. Background As the title says, this is yet-another-tutorial on Map Reduce using MongoDB. But two things that are different here: A problem solving approach is used, so we’ll take a problem, solve it in SQL first and then discuss Map Reduce. Lots of diagrams, so you’ll hopefully better understand how Map Reduce works. The Problem. Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase comparison. (Yes it's a long title, since people kept asking me to write about this and that too :) I do when it has a point.)
While SQL databases are insanely useful tools, their monopoly in the last decades is coming to an end. And it's just time: I can't even count the things that were forced into relational databases, but never really fitted them. (That being said, relational databases will always be the best for the stuff that has relations.) But, the differences between NoSQL databases are much bigger than ever was between one SQL database and another. Welcome to Apache™ Hadoop™! Cygwin. Comprendre Hadoop en moins de 5 minutes « Java EE performance. Hadoop Tutorial. Home | Cloud Types | Related Technologies What is Hadoop?
Miha Ahronovitz, Ahrono & Associates Kuldip Pabla, Ahrono & Associates Hadoop is a fault-tolerant distributed system for data storage which is highly scalable. The scalability is the result of a Self-Healing High Bandwith Clustered Storage , known by the acronym of HDFS (Hadoop Distributed File System) and a specific fault-tolerant Distributed Processing, known as MapReduce. (Hadoop Distributed File System) and a specific fault-tolerant Distributed Processing, known as MapReduce.