Blogs about: Map Reduce

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The Cloud Goes BOOM: First Strike

jmh wrote 6 days ago: For the last year or so, my team at Berkeley — in collaboration with Yahoo Research — h … more →

Tags: Academia, cloud, Database, parallelism, Research, Boom, Hadoop, Overlog

BashReduce!

jmh wrote 1 week ago:   I just heard through the Berkeley grapevine about the BashReduce effort at Last.fm: MapReduce in … more →

Map Reduce and Parallel DBs

ashalam wrote 2 weeks ago: In regards to the paper (http://database.cs.brown.edu/sigmod09/) critiquing MapReduce framework, som … more →

Tags: PhD Research

cloudera training > MapReduce and HDFS > map-reduce overview

erikeldridge wrote 1 month ago: ref: http://www.cloudera.com/sites/default/files/2-MapReduceAndHDFS.pdf - borrows from functional pr … more →

Tags: notes, Hadoop, mapreduce

Diverging views on Big Data density, and some gimmes24 comments

jmh wrote 2 months ago: Was intrigued last week by the confluence of two posts: Owen O’Malley and Arun Murthy of Yaho … more →

Tags: Database, gimmes, greenplum, parallelism, Research

MapReduce vs. Parallel DBs1 comment

neilconway wrote 2 months ago: “A Comparison of Approaches to Large-Scale Data Analysis” in SIGMOD 2009 is a followup t … more →

MapReduce implementation of GFF parsing for Biopython2 comments

Brad Chapman wrote 3 months ago: I previously wrote up details about starting a GFF parser for Biopython. In addition to incorporati … more →

Tags: openbio, Bioinfomatics, biopython, Distributed Computing, GFF

Raft of papers #1: MAD Skills7 comments

jmh wrote 4 months ago: It’s been a busy month pushing out papers. I’ll cover some of them here over the next da … more →

Tags: Database, greenplum, parallelism, Research, Trends

Cloudera building a business around open source Map Reduce

brightsparc wrote 4 months ago: The heavy hitting ex-executives behind start up CloudEra are banking on a business based around Hado … more →

Tags: Cloud Computing, LINQ, parallelism, Performance, Aneka, cloudera, dryad, DryadLINQ, Hadoop

Winning in the Cloud

jmh wrote 5 months ago:   At HPTS 2001 I gave a quick seat-of-the-pants talk called We Lose, which argued that database sof … more →

Tags: Database, Research, Trends

Building an Inverted Index with Hadoop and Pig2 comments

squarecog wrote 6 months ago: Pig is a system for processing very large datasets, developed mostly at Yahoo and now an Apache Hado … more →

Tags: Programming, Hadoop, hadoop-pig, Information Retrieval

Great post on databases and map/reduce

squarecog wrote 6 months ago: Anand Rajaraman has a great post on Datawocky with an overview of the various approaches to data ana … more →

Tags: Hadoop, hadoop-pig, RDBMS

Hadoop Map-Reduce – Tuning and Debugging 1 comment

mascha wrote 7 months ago: Some slides about tuning and debugging hadoop map-reduce. It gives good tuning starting points. … more →

Tags: Programming, Hadoop, tuning, debugging

First GigaOm post on data-parallelism is up3 comments

jmh wrote 8 months ago: The first of two invited posts at GigaOm are up.  These are not researchy, they’re intended to … more →

Tags: Trends, Blog, parallelism, greenplum

More Map Reduce in Python - Sort a List

solrhack wrote 8 months ago: Basic stuff like sorting a list can help to get your head around map reduce. Here’s an example … more →

Tags: Python, sort

More Map Reduce in Python - Test a Number for Prime

solrhack wrote 9 months ago: i was hard pressed to find any examples of map reduce in action outside of the archetypal word count … more →

Tags: Python, Hadoop

Mapreduce simplified

mainichipress wrote 1 year ago: Mapreduce is a process to find out number of similar banana in Iraq and Afganistan. For example, you … more →

Tags: C#, mapreduce, Mapreduce example

Ruby plus Amazon S3 - Document Centric Database1 comment

Tom Gleeson wrote 1 year ago: I’ve said it before and I’m going to repeat myself; learning Ruby has proven to be a gre … more →

Tags: Data, EC2, ETL, Ruby, S3, web2.0, CouchDb, EU, RDDB


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