QUMT 4370 Big Data Analytic Platforms and Applications
The astounding growth of data in all aspects of life in emails, weblogs, tweets, sensors, video, 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 would like to understand the core platforms and tools to analyze big data. This course brings together key Big Data tools on a Hadoop platform to show how to efficiently manage data with three main characteristics: volume, velocity, and variety. You will be guided with hands-on experience in how data scientists use the techniques such as MapReduce, Hive, Pig, and Spark to solve business problems in big data. Topics include the Hadoop architecture, social media analytics, link analysis, and stream analytics.
Prerequisite
(
INFS 3325 or
INFS 3310) and
INFS 3335. All students pursuing a Bachelor of Business Administration and a Bachelor of Arts in Economics from VCoBE, must apply for and be admitted to VCoBE before they are allowed to enroll in the Advanced Business Core and Major coursework for their degree.