NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1219545
Record Type: Journal
Publication Date: 2019-Aug
Pages: 9
Abstractor: As Provided
ISSN: EISSN-1545-679X
Integrating Big Data Analytics into an Undergraduate Information Systems Program Using Hadoop
Debo, Justin; Podeschi, R. J.
Information Systems Education Journal, v17 n4 p42-50 Aug 2019
With the emergence of big data as a strategic weapon in business, the need for hands-on activities in undergraduate courses is essential for preparing the next wave of technical talent. As the availability of programs in data analytics and data science grows based on market demands, the need for foundational technical skills is important to equip graduates for readily available entry level jobs in the field. While the available literature contains elements of application of big data into the classroom, mainstream tools like Apache Hadoop have not been readily addressed. This paper evaluates two different methods of providing students exposure to Hadoop through either an on-premise cluster or virtual machines. A curriculum is provided for students to gain hands-on experience through lab exercises, assessed through pre- and post-quizzes to test understanding. In addition, student work is assessed for application and analysis in a Business Intelligence and Big Data undergraduate course. This work contributes to the information systems (I.S.) community by providing foundational elements essential for integrating software tools such as Hadoop, Hive, and Spark into coursework.
Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A