QUMT 6370 Big Data Analytics
The growth of data in all aspects of life in emails, weblogs, tweets, sensors, videos, and text has necessitated the use of Big Data and advanced analytics techniques to support large-scale data analytics. This course is designed for novice programmers who want to understand the core platforms and tools to analyze big data. This course brings together key Big Data tools on a cloud-based services platform to show how to efficiently manage big data. Students will be guided with hands-on experience in how data scientists use techniques such as MapReduce, Hive, Pig, and Spark to design and build big data applications to solve business problems with large volumes of data. Topics include the Hadoop architecture, social media analytics, link analysis, and stream analytics.
Offered
as scheduled