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One of the top banks in Europe, needed a system to provide better performance, scaling almost linearly with the increase in information to be analyzed, and allowing to move the processes that were currently being executed in the Host to a Big Data infrastructure. During a year we've worked on a system which is able to provide greater agility, flexibility and simplicity for the user to view information when profiling and is now able to analyze the structure of profile data. It's a powerful way to make online queries to a graph database, which is integrated with Apache Spark and different graph libraries. Basically, we get all the necessary information through Cypher queries which are sent to a Neo4j database.
Using the last Big Data technologies like Spark Dataframe, HDFS, Stratio Intelligence or Stratio Crossdata, we have developed a solution which is able to obtain critical information for multiple datasources like text files o graph databases.