Scalable Data Analysis

4 credits

The course exercises the data scientist’s scalability toolbox, covering such concepts as map-reduce, streaming analysis, external memory algorithms, as well as their implementation options in popular frameworks (e.g., Hadoop and its ecosystem: HBase, Hive, Pig and Spark, etc.). The class will include assignments of analyzing large existing databases.