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. (3)