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Company Overview of Pentaho Corporation
Pentaho Corporation provides data integration and business analytics platforms. It offers a data integration platform that provides tools to analyze, visualize, explore, report, and predict data; and a business analytics platform that enables business users to access, discover, and blend various types and sizes of data, as well as provides interactive visual analysis tools, graphical and responsive dashboards, solutions for reporting, streamlined management and administration tools, data integration tools, and predictive analytics tools. The company’s business analytics platform also offers Pentaho Instaview that provides a big data analytics tool for the big data stores, broadens data acces...
5950 Hazeltine National Drive
Orlando, FL 32822
Founded in 2004
Key Executives for Pentaho Corporation
Chairman and Chief Executive Officer
Co-Founder and Chief Technology Officer
Co-Founder and Chief Engineer
Co-Founder and Big Data Product Manager
Compensation as of Fiscal Year 2015.
Pentaho Corporation Key Developments
Pentaho to Preview Version 6.0 of its Big Data Integration and Analytics Platform
Sep 29 15
Pentaho will preview version 6.0 of its big data integration and analytics platform that will be generally available on October 14, 2015 at PentahoWorld. The new 6.0 software release includes the first version of the Pentaho enterprise-class server with features designed to automate, manage and enhance every stage of the analytic data pipeline. This version takes customers closer to Pentaho’s bold vision for governed data delivery the ability to blend trusted and timely data of any type to power analytics at scale. Flexible options for putting data to work, as big data matures in the workplace, a spectrum of data architectures has emerged to serve different use cases. At one end, traditional data warehouses host prepared, structured data; at the other, data lakes provide a repository for raw, native data. Data refineries, which transform raw data, and provide the ability to incorporate data sources that are too varied or fast-moving to stage in the data lake, sit between these on the spectrum. As use cases evolve, enterprises can rest assured that with Pentaho 6.0 data will be appropriately governed and efficiently delivered at any stage of the pipeline to any user or application. Companies, however, need software that can efficiently manage the process flow of multiple diverse data sources in a scalable manner to create the unified analytic data sets that lead to insight. This is one of the most effective ways to provide the value needed and expected by management. In this latest release, Pentaho 6.0 addresses not only the need to manage the process flow, but also to help automate the entire analytic data pipeline. Making the big blend a reality, Pentaho 6.0 offers new data services and delivery options to: Blend and virtualize datasets on the fly for faster access and flexibility when mashing up data. Support data blending at scale with enhanced ‘push down optimization,’ where data transformations can be pushed’ to the most efficient processing resource. Easily shape even the most complex data. Track and store data lineage details each time a process executes. Improve collaboration capabilities for sharing data discovery findings with improved inline modeling capabilities (round-trip model editing). Taming the analytic data pipeline, Pentaho 6.0 strengthens the Pentaho platform to manage expanding data pipelines with: New data lineage capabilities to help users understand data origin. Deeper integration with SNMP through major enhancements to systems monitoring for better enterprise visibility. Upgraded and enhanced Spring Security, the Java/Java EE framework that provides authentication, authorization and other security features for enterprise applications. Improved Data Services caching for optimal performance of virtualized datasets. Support for OSGI specification, a modular system and a service platform for Java. Data-driven organizations can be sure that their data is appropriately governed and delivered at the point of impact, whether consumed by an internal user, external user or third party application. Pentaho 6.0 will be available to download on October 14, 2015 at PentahoWorld in Orlando Florida. PentahoWorld attendees will have the opportunity to see 6.0 in action and learn first-hand from its creators how to tame their data flows.
Pentaho Corporation Partners with Melissa Data to Keep the Data Lake Clean
Sep 22 15
Pentaho Corporation and Melissa Data announced a partnership, creating a set of new data quality plug-ins from Melissa Data for Pentaho’s big data integration and analytics platform. Melissa Data’s plug-ins for Pentaho help users quickly move beyond tactical data quality efforts to engage in a broader data governance strategy by combining data quality, data governance, and master data management. In order to keep data lake from becoming a data swamp it is important to create a data strategy that includes data validation and correction against reference datasets, and extracting entities or data points from the unstructured big data.
Pentaho Announces Pentaho 5.4
Jun 9 15
Pentaho announced support for integration with two popular big data technologies, Amazon Elastic MapReduce (EMR) and SAP HANA. Available on June 9, 2015, Pentaho 5.4 offers new capabilities that build on a pragmatic and future-proof platform for big data orchestration and analytics at scale, further empowering organizations to drive value with Pentaho’s Big Data Blueprint use case designs. In Pentaho 5.4 customers can now use Amazon EMR to natively transform and orchestrate data as well as design and run Hadoop MapReduce in-cluster on EMR. IT organizations now have new and powerful ways to operationalize a cloud-based data refinery architecture for on-demand governed delivery of data sets. Enterprises can now leverage SAP HANA’s high-performance capabilities on a wider variety of data. Pentaho 5.4’s integration with SAP HANA enables governed data delivery across multiple structured and unstructured sources. Enterprises running Hadoop find that data variety and volumes increase over time, making reliable performance and scalability mission-critical priorities. Pentaho recently executed a controlled study that demonstrates sustained processing performance of Pentaho MapReduce running at scale on a 129-node Hadoop cluster. The results build on the value of the Pentaho platform, delivering high performance processing at enterprise scale in big data deployments. Additional capabilities and enhancements in Pentaho 5.4 include: Integration of Pentaho Data Integration (PDI) with Apache Spark, enabling orchestration of Spark jobs, new APIs to simplify embedding analytics into business applications and processes, a refreshed, modern look for Pentaho Data Integration and ability to localize Pentaho in French, German and Japanese.
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