Cheryl Ann Alexander1* and Lidong Wang2
1Institute for IT Innovation and Smart Health, Mississippi, USA
2Institute for Systems Engineering Research, Mississippi State University, Vicksburg, USA
*Corresponding Author: Cheryl Ann Alexander, Institute for IT Innovation and Smart Health, Mississippi, USA.
Received: June 20, 2020; Published: July 25, 2020
Data is a critical commodity in today’s business climate. Information can be presented in a variety of forms: structured, unstructured, and semi-structured. There is a global information revolution happening, with more data being produced than ever before and conventional database management methods unable to manage the massive amounts of information being produced by organizations from legal businesses, healthcare organizations, financial institutions, government businesses, etc. Most businesses are turning to Big Data analytics for database management in the current information revolution. The most responsible businesses currently use a theory in the underlying application of database management systems (DBMS). In this paper, we discuss DBMS, the theories underlying the DBMS, and Information Flow Theory, a common theory used to support and brace DBMS.
Keywords: Information Flow; Database Management; Database Management Systems (DBMS); Business Intelligence
Citation: Cheryl Ann Alexander and Lidong Wang. “Information Flow Theory”.Acta Scientific Computer Sciences 2.7 (2020): 22-25.
Copyright: © 2020 Cheryl Ann Alexander and Lidong Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.