Teaching real-time streaming analytics with microsoft Azure and power BI

Loreen M. Powell; Hayden Wimmer; Ekene Nwobodo

Teaching real-time streaming analytics with microsoft Azure and power BI

Loreen M. Powell, Hayden Wimmer, Ekene Nwobodo

Information Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

Business and data analytics is a growing field with many career opportunities. As a result, many information system and technology related degree programs are integrating business and data analytics courses into their curriculum. However, this is a limited amount of teaching resources available on this topic. This paper will add the body of knowledge and teaching resources regarding business and data analytics. Specifically, this paper aims to explain real-time digital data streaming, explore business and data analytic tools used for collecting, organization, and visualizing data, as well as explain possible implementation and usage.

Original language	English
Pages	134-141
Number of pages	8
State	Published - 2016
Event	33rd Information Systems Education Conference, ISECON 2016 - Pittsburgh, United States Duration: Nov 10 2016 → Nov 12 2016

Conference

Conference	33rd Information Systems Education Conference, ISECON 2016
Country/Territory	United States
City	Pittsburgh
Period	11/10/16 → 11/12/16

Keywords

Business and data analytics
Data science
Power BI
Real-time data stream

Cite this

@conference{0a7b704fdb2e47d39d33193c545585c6,

title = "Teaching real-time streaming analytics with microsoft Azure and power BI",

abstract = "Business and data analytics is a growing field with many career opportunities. As a result, many information system and technology related degree programs are integrating business and data analytics courses into their curriculum. However, this is a limited amount of teaching resources available on this topic. This paper will add the body of knowledge and teaching resources regarding business and data analytics. Specifically, this paper aims to explain real-time digital data streaming, explore business and data analytic tools used for collecting, organization, and visualizing data, as well as explain possible implementation and usage.",

keywords = "Business and data analytics, Data science, Power BI, Real-time data stream",

author = "Powell, {Loreen M.} and Hayden Wimmer and Ekene Nwobodo",

note = "Publisher Copyright: {\textcopyright} 2016 33rd Information Systems Education Conference. All Rights Reserved; 33rd Information Systems Education Conference, ISECON 2016 ; Conference date: 10-11-2016 Through 12-11-2016",

year = "2016",

language = "English",

pages = "134--141",

}

TY - CONF

T1 - Teaching real-time streaming analytics with microsoft Azure and power BI

AU - Powell, Loreen M.

AU - Wimmer, Hayden

AU - Nwobodo, Ekene

PY - 2016

Y1 - 2016

N2 - Business and data analytics is a growing field with many career opportunities. As a result, many information system and technology related degree programs are integrating business and data analytics courses into their curriculum. However, this is a limited amount of teaching resources available on this topic. This paper will add the body of knowledge and teaching resources regarding business and data analytics. Specifically, this paper aims to explain real-time digital data streaming, explore business and data analytic tools used for collecting, organization, and visualizing data, as well as explain possible implementation and usage.

AB - Business and data analytics is a growing field with many career opportunities. As a result, many information system and technology related degree programs are integrating business and data analytics courses into their curriculum. However, this is a limited amount of teaching resources available on this topic. This paper will add the body of knowledge and teaching resources regarding business and data analytics. Specifically, this paper aims to explain real-time digital data streaming, explore business and data analytic tools used for collecting, organization, and visualizing data, as well as explain possible implementation and usage.

KW - Business and data analytics

KW - Data science

KW - Power BI

KW - Real-time data stream

UR - http://www.scopus.com/inward/record.url?scp=85072898586&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85072898586

SP - 134

EP - 141

T2 - 33rd Information Systems Education Conference, ISECON 2016

Y2 - 10 November 2016 through 12 November 2016

ER -

Teaching real-time streaming analytics with microsoft Azure and power BI

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this