IS 568 - Big Data Analytics

3 credit hours

Big data analytics is the application of analytic techniques to very large, diverse data sets that often include varied data types and streaming data. Big data analytics explores business and customer interactions from data that seldom finds its way into a data warehouse or standard report. This data is often unstructured data coming from sensors, devices, third parties, Web applications, and social media- much of it sourced in real time on a large scale. Using advanced analytics techniques such as predictive analytics, data mining, statistics, and natural language processing, businesses can study big data to understand the current state of the business and track evolving aspects such as customer behavior. New methods of working with big data, such as Hadoop and MapReduce, also offer alternatives to traditional data warehousing. This class will define big data and big data analytic techniques and review big data use cases.