http://blog.pentaho.com This blog provides views on the value of business analytics, and what companies are gaining with reporting, analysis, data integration, dashboards, and data mining. Fri, 08 Mar 2013 23:30:58 +0000 hourly 1 http://wordpress.com/ http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics/#comment-6915 Fri, 08 Mar 2013 23:30:58 +0000 http://blog.pentaho.com/?p=3438#comment-6915 [...] Pentaho: “Improving Customer Support using Hadoop and Device Data Analytics”http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics… [...]

]]> http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics/#comment-6914 Fri, 08 Mar 2013 23:20:20 +0000 http://blog.pentaho.com/?p=3438#comment-6914 [...] Pentaho: “Improving Customer Support using Hadoop and Device Data Analytics”http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics… [...]

]]> http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics/#comment-6913 Fri, 08 Mar 2013 22:47:11 +0000 http://blog.pentaho.com/?p=3438#comment-6913 [...] “Improving Customer Support using Hadoop and Device Data Analytics”http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics…Pentaho: “Is your Hadoop cluster big enough to hold your development team’s [...]

]]> http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics/#comment-6912 Fri, 08 Mar 2013 22:45:46 +0000 http://blog.pentaho.com/?p=3438#comment-6912 [...] “Improving Customer Support using Hadoop and Device Data Analytics”http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics…Pentaho: “Is your Hadoop cluster big enough to hold your development team’s [...]

]]> http://blog.pentaho.com/2013/03/06/improving-customer-support-using-hadoop-and-device-data-analytics/#comment-6868 Wed, 06 Mar 2013 11:36:33 +0000 http://blog.pentaho.com/?p=3438#comment-6868 Very good case, congrats! It would fantastic to know some troughputs (in rows/second and bytes/second) and hardware power (number of cores and RAM memory) employed in it. Also, does it run continuosly or by batchs? Do you have any “extra” infrastructure setup for it, as an optical network or the like?

]]> http://blog.pentaho.com/2013/02/21/the-tesla-vs-ny-times-how-analytics-helped-tesla-win/#comment-6777 Fri, 01 Mar 2013 14:54:34 +0000 http://blog.pentaho.com/?p=3408#comment-6777 [...] “The Tesla vs. NY Times – How Analytics Helped Tesla Win”http://blog.pentaho.com/2013/02/21/the-tesla-vs-ny-times-how-analytics-helped-tesla-win/Pentaho: “Pentaho Instaview Templates Broaden Big Data Access and [...]

]]> http://blog.pentaho.com/2013/03/01/channel-partners-carpe-diem/#comment-6771 Fri, 01 Mar 2013 09:43:54 +0000 http://blog.pentaho.com/?p=3430#comment-6771 Congratulations to Pentaho and BNova!
I had the chance to work with BNova in CINECA and, more recently, in Infocamere, and they helped us doing a great job!

]]> http://blog.pentaho.com/2012/12/14/big-data-speeds-across-the-chasm/#comment-6768 Fri, 01 Mar 2013 02:02:12 +0000 http://blog.pentaho.com/?p=3389#comment-6768 [...] CEO Quentin Gallivan recently blogged that 2013 will be the year in which many companies go into production with big data analytics. [...]

]]> http://blog.pentaho.com/2012/11/30/impala-a-new-era-for-bi-on-hadoop/#comment-6646 Sat, 16 Feb 2013 12:23:32 +0000 http://blog.pentaho.com/?p=3383#comment-6646 Impala is certainly interesting. But there are some challenges with it in its current state. Correct me if I’m wrong, but I believe it is nowhere near supporting SQL92, has minimal metadata, and does not leverage Hadoop workflows or HDFS failover. (It’s a separate engine embedded in Hadoop that you query directly.) With Yarn, HCatalog, and other things, these will be addressed, but I’m wondering whether any companies are successfully using IMpala right now, and whether they might be better served parsing and dumping the data into a DBMS and then analyzing it there. There is a huge “Hadoop is a silver bullet” mentality out there right now. At the same time, I do see DW managers questioning whether it makes to move data into a DW if it’s already in Hadoop. That’s certainly a legitimate question and one that could turn our industry on its head.

]]> http://blog.pentaho.com/2012/12/18/7-things-to-ask-when-looking-for-self-service-analytics-for-big-data-stores/#comment-6542 Fri, 21 Dec 2012 17:17:07 +0000 http://blog.pentaho.com/?p=3397#comment-6542 [...] “7 Things to Ask When Looking for Self-Service Analytics for Big Data Stores”http://blog.pentaho.com/2012/12/18/7-things-to-ask-when-looking-for-self-service-analytics-for-big-d…Dell“My Dilemma with Folsom – why I want to jump to G” by Rob Hirschfeld – [...]

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