OW2con'15

SpagoBI, thanks to its open and innovative approach and its continued collaboration with open source communities, has anticipated these market shifts by progressively adapting its architecture and features to support self-service user-driven BI and to leverage Big Data technologies and approaches.

The evolution of SpagoBI towards a Big Data solution follows three main axis:
1) accessing new data sources, belonging to the Hadoop and NoSql families, and manage them in a uniform and consistent way together with traditional sources thanks to the definition of an abstract object: the dataset;
2) supporting predictive analytic scenarios thanks to the integration and development of advanced data management techniques, such as data mining and machine learning;
3) providing new visualization tools and features, best oriented to perform analysis of Big Data, which are more focused on clusters and segments than on individuals.

The speech will describe real life use cases of the following Big Data features provided by SpagoBI suite:
- full integration with SparkSQL, allowing you to query structured data as distributed datasets (RDD) as well as Apache Hive tables or unstructured data like parquet or JSON files;
- integration with SparkR - the R package allowing you to deal with Spark functions inside the R code;
- integration of H2O package, allowing you to execute parallel data mining and machine learning algorithms on data stored in Hadoop;
- network analysis, a data visualization feature allowing you to graphically represent different entities and their relations in an effective way.