ENGINEERING FACULTY / COMPUTER ENGINEERING / BLM4032 - BIG DATA MINING
 
Learning Outcomes Of the Course 
ÖÇ1They will learn big data concepts, terminology, data analytics features, big data types such as 5V-structured-structural-unstructured-metadata.
ÖÇ2Understand analysis techniques such as qualitative-quantitative data mining, statistical analysis, A/B testing, correlation, regression analysis.
ÖÇ3Understand storage concepts such as clustering, distributed file systems, relational database systems, NoSQL, in-memory storage and big data processing concepts such as parallel, distributed, batch processing.
ÖÇ4Understand parallel processing and other design patterns in big data processing such as Cloudera virtual machine, HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator and Hue).