Marymount University
Undergraduate Catalog 2016-17
IT 385 Managing Big Data
Introduces the concepts and technology behind big data including technology to handle the four tenets: volume, veracity, variability and velocity. The technology is explored that will enable the large volumes of data including tools such as Hadoop. Data collection techniques will be examined and students will perform a series of activities, including data scraping, data wrangling, and data merging. Extraction, transformation, and loading (ETL) techniques will be developed with a focus on the quality of data. Technology to store and analyze structured, unstructured, and text data will be evaluated and the new technology evolving such as NOSQL databases will be researched in detail. Prerequisite: IT 310.
Catalog Contents
School of Business Administration
School of Education and Human Services
Academic Information and Policies
Academic Integrity Policy Summary
Other Credit-Acquisition Opportunities
Post-Baccalaureate Certificate Student Academic Policies
Students Pursuing a Double Major or Dual Degrees
Students Enrolled in Bachelor’s/Master’s Programs
University Requirements and the Liberal Arts Core
Undergraduate Pre-Professional Studies
Consortium of Universities of the Washington Metropolitan Area
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