ISSC 421-chapter5 data-and-knowledge-management-REVIEWED BY EXPERTS 2021

ISSC 421-chapter5 data-and-knowledge-management-REVIEWED BY EXPERTS 2021

Document Content and Description Below

Chapter 2 Data and Knowledge Management CHAPTER OUTLINE 2.1 Managing Data 2.2 The Database Approach 2.3 Big Data 2.4 Data Warehouses and Data Marts 2.5 Knowledge Management LEARNING OBJECTIVES ... 1. Discuss ways that common challenges in managing data can be addressed using data governance. 2. Discuss the advantages and disadvantages of relational databases. 3. Define Big Data, and discuss its basic characteristics. 4. Recognize the necessary environment to successfully implement and maintain data warehouses. 5. Describe the benefits and challenges of implementing knowledge management systems in organizations 6. Understand the processes of querying a relational database, entity-relationship modeling, and normalization and joins 2.1 MANAGING DATA The Difficulties of Managing Data IT applications require data. These data should be of high quality, meaning they should be Accurate, Complete, Timely, Consistent, Accessible, Relevant, and Concise. Difficulties in managing data:  Amount of data increasing exponentially  Data are scattered throughout organizations and collected by many individuals using various methods and devices.  Data come from many sources.  Data security, quality, and integrity are critical. Page 1 of 24 [Show More]