Pentaho's analytics dashboard.[/caption] Pentaho has released the latest version of its Business Analytics platform. Version 5.0 includes a number of tweaks to the console and user interface, as well as the underlying data-analytics algorithms. Administrators now have a new dashboard for configuring and managing everything from security to servers, for example, while executives and managers can access custom interfaces that place their most valued metrics front and center. Pentaho’s Business Analytics platforms have always emphasized the analysis and visualization of data in multiple formats, from Hadoop and Cassandra to HBase and MongoDB, and this latest version is no different. The latest platform integrations include Amazon Redshift, Cloudera Impala; new certifications include Intel, Hortonworks, MapR, and DataStax. Pentaho’s software also emphasizes speed and blending data as close to the source as possible. “Data Blending allows a data integration user to create a transformation capable of delivering data directly to our other Pentaho Business Analytics tools (and even non-Pentaho tools),” Matt Casters, Pentaho’s chief of data integration, wrote in a blog posting. “Traditionally data is delivered to these tools through a relational database.” (The posting details how Pentaho used some fancy SQL judo to accomplish this blending.) Pentaho is a busy company; in addition to releasing new versions of its core software, it’s also spent the past year jumping aboard the partnerships bandwagon. In August, it joined Splunk in rolling out Pentaho Business Analytics for Splunk Enterprise, which runs machine data gathered by Splunk through Pentaho’s analytics tools; the platform also combines machine data with NoSQL, Apache Hadoop, and enterprise-application datasets. In late 2012, Pentaho collaborated with Cisco on a data-analytics platform built atop Cisco’s Unified Computing System. Despite working with IT giants such as Cisco that profit greatly from the use of proprietary software, Pentaho’s executives believe firmly in the value of open source. “Another thing that I feel is satisfying about working in Open Source is that you get much more direct contact between the software developers working on the code and the people that have the use-case that are actually trying to use the software,” Doug Moran, Pentaho’s co-founder and Big Data Project Manager, told SourceForge in an interview last year. “In a proprietary company, you’ve got layers of account managers and support people trying to ensure that the engineers don’t actually talk to the customer.” Image: Pentaho Pentaho’s Latest Business Analytics Platform Focuses on Data Blending
[caption id="attachment_12271" align="aligncenter" width="548"] Pentaho's analytics dashboard.[/caption] Pentaho has released the latest version of its Business Analytics platform. Version 5.0 includes a number of tweaks to the console and user interface, as well as the underlying data-analytics algorithms. Administrators now have a new dashboard for configuring and managing everything from security to servers, for example, while executives and managers can access custom interfaces that place their most valued metrics front and center. Pentaho’s Business Analytics platforms have always emphasized the analysis and visualization of data in multiple formats, from Hadoop and Cassandra to HBase and MongoDB, and this latest version is no different. The latest platform integrations include Amazon Redshift, Cloudera Impala; new certifications include Intel, Hortonworks, MapR, and DataStax. Pentaho’s software also emphasizes speed and blending data as close to the source as possible. “Data Blending allows a data integration user to create a transformation capable of delivering data directly to our other Pentaho Business Analytics tools (and even non-Pentaho tools),” Matt Casters, Pentaho’s chief of data integration, wrote in a blog posting. “Traditionally data is delivered to these tools through a relational database.” (The posting details how Pentaho used some fancy SQL judo to accomplish this blending.) Pentaho is a busy company; in addition to releasing new versions of its core software, it’s also spent the past year jumping aboard the partnerships bandwagon. In August, it joined Splunk in rolling out Pentaho Business Analytics for Splunk Enterprise, which runs machine data gathered by Splunk through Pentaho’s analytics tools; the platform also combines machine data with NoSQL, Apache Hadoop, and enterprise-application datasets. In late 2012, Pentaho collaborated with Cisco on a data-analytics platform built atop Cisco’s Unified Computing System. Despite working with IT giants such as Cisco that profit greatly from the use of proprietary software, Pentaho’s executives believe firmly in the value of open source. “Another thing that I feel is satisfying about working in Open Source is that you get much more direct contact between the software developers working on the code and the people that have the use-case that are actually trying to use the software,” Doug Moran, Pentaho’s co-founder and Big Data Project Manager, told SourceForge in an interview last year. “In a proprietary company, you’ve got layers of account managers and support people trying to ensure that the engineers don’t actually talk to the customer.” Image: Pentaho
Pentaho's analytics dashboard.[/caption] Pentaho has released the latest version of its Business Analytics platform. Version 5.0 includes a number of tweaks to the console and user interface, as well as the underlying data-analytics algorithms. Administrators now have a new dashboard for configuring and managing everything from security to servers, for example, while executives and managers can access custom interfaces that place their most valued metrics front and center. Pentaho’s Business Analytics platforms have always emphasized the analysis and visualization of data in multiple formats, from Hadoop and Cassandra to HBase and MongoDB, and this latest version is no different. The latest platform integrations include Amazon Redshift, Cloudera Impala; new certifications include Intel, Hortonworks, MapR, and DataStax. Pentaho’s software also emphasizes speed and blending data as close to the source as possible. “Data Blending allows a data integration user to create a transformation capable of delivering data directly to our other Pentaho Business Analytics tools (and even non-Pentaho tools),” Matt Casters, Pentaho’s chief of data integration, wrote in a blog posting. “Traditionally data is delivered to these tools through a relational database.” (The posting details how Pentaho used some fancy SQL judo to accomplish this blending.) Pentaho is a busy company; in addition to releasing new versions of its core software, it’s also spent the past year jumping aboard the partnerships bandwagon. In August, it joined Splunk in rolling out Pentaho Business Analytics for Splunk Enterprise, which runs machine data gathered by Splunk through Pentaho’s analytics tools; the platform also combines machine data with NoSQL, Apache Hadoop, and enterprise-application datasets. In late 2012, Pentaho collaborated with Cisco on a data-analytics platform built atop Cisco’s Unified Computing System. Despite working with IT giants such as Cisco that profit greatly from the use of proprietary software, Pentaho’s executives believe firmly in the value of open source. “Another thing that I feel is satisfying about working in Open Source is that you get much more direct contact between the software developers working on the code and the people that have the use-case that are actually trying to use the software,” Doug Moran, Pentaho’s co-founder and Big Data Project Manager, told SourceForge in an interview last year. “In a proprietary company, you’ve got layers of account managers and support people trying to ensure that the engineers don’t actually talk to the customer.” Image: Pentaho 