Big Data and Analytics

Catalog description

Big Data and Analytics addresses knowledge discovery and predictive analysis using very large or unstructured data sets such as click-stream and social network data. A framework will be developed for thinking about 'Big Data' along the dimensions of structure, size, speed, and source. This will be followed by a survey of analytic methods appropriate for different types of data, as well as key technologies and data integration approaches that are driving the big data revolution. Traditional and emerging NoSQL database technologies will be contrasted, and the module will examine how Big Data affects interactions with IT departments within organizations. Emphasis will be placed on management overview rather than detailed technical aspects. Participants will practice leading Big Data analysis so that it is guided by the business model, relevant to the business, can be explained effectively, leads to actionable recommendations, and is timely. This module also explores the use of text analytics to mine and analyze unstructured textual data, big and small. We investigate tools and techniques for natural language processing, sentiment analysis, document clustering, and document classification.