This course covers the fundamental platforms, such as Hadoop, Spark, and other tools, e.g., Linked Big Data, several data storage methods that include HDFS, HBase, KV stores, document database, and graph database, different ways of handling analytics algorithms on different platforms, visualization issues and mobile issues on Big Data Analytics It will discuss large-scale machine learning methods that are foundations for artificial intelligence and cognitive networks and several methods to optimize the analytics based on different hardware platforms, such as Intel & Power chips, GPU, FPGA, etc.