Comments on: Cloudera Enterprise and Hadoop evolution http://www.dbms2.com/2010/06/30/cloudera-enterprise-hadoop-evolution/ Choices in data management and analysis Thu, 09 Feb 2012 13:48:12 +0000 hourly 1 http://wordpress.org/?v=3.0.3 By: Hadoop ベンダーたちは、データに苦しむ銀行から利益を得られるのか？ [ #cloud #cloudcomputing #hadoop #cloudera #cbajp ] « Agile Cat — Azure & Hadoop — Talking Book http://www.dbms2.com/2010/06/30/cloudera-enterprise-hadoop-evolution/#comment-186307 Hadoop ベンダーたちは、データに苦しむ銀行から利益を得られるのか？ [ #cloud #cloudcomputing #hadoop #cloudera #cbajp ] « Agile Cat — Azure & Hadoop — Talking Book Tue, 05 Oct 2010 08:18:44 +0000 http://www.dbms2.com/?p=2440#comment-186307 [...] Hadoop. Cloudera cites financial services as one of two vertical markets adopting Hadoop most aggressively, with primary use cases being [...] [...] Hadoop. Cloudera cites financial services as one of two vertical markets adopting Hadoop most aggressively, with primary use cases being [...]

]]> By: Will Hadoop Vendors Profit from Banks’ Data Woes?: Cloud « http://www.dbms2.com/2010/06/30/cloudera-enterprise-hadoop-evolution/#comment-186099 Will Hadoop Vendors Profit from Banks’ Data Woes?: Cloud « Sun, 03 Oct 2010 16:02:13 +0000 http://www.dbms2.com/?p=2440#comment-186099 [...] Hadoop. Cloudera cites financial services as one of two vertical markets adopting Hadoop most aggressively, with primary use cases being [...] [...] Hadoop. Cloudera cites financial services as one of two vertical markets adopting Hadoop most aggressively, with primary use cases being [...]

]]> By: The substance of Pentaho’s Hadoop strategy | DBMS 2 -- DataBase Management System Services http://www.dbms2.com/2010/06/30/cloudera-enterprise-hadoop-evolution/#comment-181697 The substance of Pentaho’s Hadoop strategy | DBMS 2 -- DataBase Management System Services Sat, 21 Aug 2010 06:40:32 +0000 http://www.dbms2.com/?p=2440#comment-181697 [...] use a screwy version of MapReduce, where by “screwy” I mean anything that isn’t Cloudera Enterprise, Aster Data SQL/MapReduce, or some other implementation/distribution with a lot of supporting [...] [...] use a screwy version of MapReduce, where by “screwy” I mean anything that isn’t Cloudera Enterprise, Aster Data SQL/MapReduce, or some other implementation/distribution with a lot of supporting [...]

]]> By: Vlad Rodionov http://www.dbms2.com/2010/06/30/cloudera-enterprise-hadoop-evolution/#comment-173812 Vlad Rodionov Fri, 02 Jul 2010 20:27:47 +0000 http://www.dbms2.com/?p=2440#comment-173812 "Cloudera has half a dozen customers at the 75+ node production level." Using Hadoop (and M/R) makes sense only on the level of at least Facebook or LinkedIn scale (1000 servers +, 5-10Pb data +). Why do you think this technology was invented by Google and not by Walmart IT department? Walmart is huge as well but their data volume is nothing in comparison with Google's one. If you do not have Petabytes of data (read if you are not Google/Yahoo/Microsoft) you better look for something more traditional: custom built software or existing commercial product. One high end server with problem optimized software can easily beat 50-node Hadoop cluster on virtually any task. “Cloudera has half a dozen customers at the 75+ node production level.”

Using Hadoop (and M/R) makes sense only on the level of at least Facebook or LinkedIn scale (1000 servers +, 5-10Pb data +). Why do you think this technology was invented by Google and not by Walmart IT department? Walmart is huge as well but their data volume is nothing in comparison with Google’s one. If you do not have Petabytes of data (read if you are not Google/Yahoo/Microsoft) you better look for something more traditional: custom built software or existing commercial product.

One high end server with problem optimized software can easily beat 50-node Hadoop cluster on virtually any task.

]]> By: M-A-O-L » Hadoop Update http://www.dbms2.com/2010/06/30/cloudera-enterprise-hadoop-evolution/#comment-173580 M-A-O-L » Hadoop Update Wed, 30 Jun 2010 21:44:34 +0000 http://www.dbms2.com/?p=2440#comment-173580 [...] Monash can tell us a bit more about Cloudera Enterprise. He actually mentions Financial services uses for Hadoop include: Internal trading rule [...] [...] Monash can tell us a bit more about Cloudera Enterprise. He actually mentions Financial services uses for Hadoop include: Internal trading rule [...]

]]>