IBM launches development environment for high performance analytics

IBM (NYSE: IBM) has launched a cloud-based development environment for near real-time, high performance analytics, giving data scientists the ability to access and ingest data and deliver insight-driven models to developers, the company said.

Available on the IBM cloud bluemix platform, the Data Science Experience provides 250 curated data sets, open source tools and a collaborative workspace to help data scientists uncover and share meaningful insights with developers, making it easier to rapidly develop applications that are infused with intelligence.

Building on its USD300 million investment in developing Apache Spark as a type of analytics operating system, IBM created the Data Science Experience to extend the speed and agility of Spark to more than two million members of the R community through new contributions to SparkR, SparkSQL and Apache SparkML

The Data Science Experience´s open and collaborative environment allows data scientists to accelerate and simplify data ingestion, curation and analysis by bringing together the content, data, models, and open source resources from IBM and others including H2O, RStudio, Jupyter Notebooks on Apache Spark in a single security-rich managed environment.

IBM has built Spark into the core of its platforms including Watson, Commerce, Analytics, Systems, Cloud as well as more than 30 offerings including IBM BigInsights for Apache Hadoop, IBM Analytics on Apache Spark, Spark with Power Systems, Watson Analytics, SPSS Modeler and IBM Stream Computing. IBM also open-sourced its breakthrough SystemML machine learning technology to advance Spark´s machine learning capabilities in 2015.