Big Data Fundamentals

Catalog description

Gain insights on how Big Data is used in organizations for predictive and behavior analytics. Explores characteristics of Big Data: Volume, Variety, Velocity. Provides methods and approaches in sourcing, capturing, storing, analyzing, searching, querying, visualizing, updating data. Use analytic tools and frameworks, such as Hadoop and Spark for data mining, processing, scaling and reporting for business intelligence. Design algorithms and perform predictive modeling using real-world datasets. 54.00 hours lecture and 18.00 hours laboratory. (Letter grade or Pass/No Pass option)