IBM Data Science Experience (DSE)

Data Science Experience is a cloud environment of program development on the IBM Bluemix platform, for work in the mode close to real time.

On June 17, 2016 Big Blue launched a cloud environment of program development Data Science Experience which allows to work in the mode close to real time^[1].

Representation of Data Science Experience, (2016)

According to statements of corporation, service provides high performance in the analysis of Big Data and processing of the operational information arriving from corporate IT systems of the user.

The Data Science Experience (DSE) service is a development environment for Apache Spark. DSE is available on a cloud platform of IBM Bluemix and can work at the same time with 250 sets of difficult data and tools open source.

The cloud environment of DSE is intended for the most difficult analytical calculations, including the organization of a joint working space in which erudite and other specialists can share the ideas with developers. According to representatives of IBM, it will allow to create quicker new applications and to use possibilities of public resources, for example software analytical tools of a packet RStudio and community R Community from 2 million developers in the world, service of exchange of the documents Jupyter Notebook on a framework of Apache Spark, H2O software for the analysis of Big Data.

Start of Data Science Experience IBM expects to strengthen the positions in the market of advanced analytics. Developments of IBM based on Apache Spark are widely used in science and business.

Working in Data Science Experience, it is possible to use different data sets, visualization tools, forecast algorithms and means of machine learning, including the cognitive IBM Watson system. All these tools are available in a unified environment with high high-speed performance. Scope of service can expand the possibilities of Apache Spark and Bluemix applied in science and business.