Oracle in-database Hadoop: when MapReduce meets RDBMS

Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular paral-lel programming paradigm well suited to the programmatic extraction and analysis of information from these unstruc-tured Big Data reserves. The Apache Hadoop implementa-tion of MapReduce has become an important player in this market due to its ability to exploit large networks of inex-pensive servers. The increasing importance of unstructured data has led to the interest in MapReduce and its Apache Hadoop implementation, which has led to the interest of da-ta processing vendors in supporting this programming style. Oracle RDBMS has had support for the MapReduce paradigm for many years through the mechanism of use