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Pentaho’s strategy of BI and DI “better together” has been consistent since our early days, but this value proposition has never been stronger than it is today with the announcement of Pentaho 7.0. The world of data is too vast and fast to try to deliver analytic insights without solving data challenges first. Growing amounts of data – coming from both traditional and big data sources – has created even more complexity. Plus, increasing demand for self-service analytics from the business […]

Over the last 18 months or so, we at Pentaho have witnessed the hype train around Spark crank into full gear. The huge interest in Spark is of course justified.  As a data processing engine, Spark can scream because it leverages in-memory computing.  Spark is flexible – able to handle workloads like streaming, machine learning, and batch processing in a single application.  Finally, Spark is developer-friendly – equipped to work with popular programming languages and simpler than traditional Hadoop MapReduce. Many […]