This course brings together several key technologies used in manipulating, storing, and analyzing big data. We look at the details of Hadoop and related tools providing SQL-like access to unstructured data: Pig and Hive.

We will also analyze so-called NoSQL storage solutions like HBase, Cassandra, and Oracle NoSQL, for their critical features: speed of reads and writes, data consistency, and ability to scale to extreme volumes. And we will examine memory-resident databases and streaming technologies allowing analysis of data in flight.

A large section of the course is devoted to the methods of statistical analysis, where we will work with Open-Source frameworks like Mahout and Open R and other statistical tools including taking a look at public Cloud as a resource for big data analytics.