Big data, such as documents, web blogs, social networks, sensor data, and others, are stored in a NoSQL database, such as MongoDB, or a distributed filesystem, such as HDFS. In case we deal with structured data, we can deploy database capabilities using systems such as Cassandra or HBase, which are built atop Hadoop. Data processing follows the MapReduce paradigm, which breaks data processing problems into smaller sub problems and distributes tasks across processing nodes. Machine learning models are finally trained with machine learning libraries such as Mahout and Spark.
MongoDB is a NoSQL database, which stores documents in a JSON-like format. You can read more about it at https://www.mongodb.org. Hadoop ...
