Alternatives for Dynamic Web Development Projects
Linux Journal
The relationship between information and communication technologies adoption and management
Information and Management
KMPI: measuring knowledge management performance
Information and Management
Selecting knowledge management strategies by using the analytic network process
Expert Systems with Applications: An International Journal
Networks of contextualized data: a framework for cyberinfrastructure data management
Communications of the ACM - Inspiring Women in Computing
Data mining for exploring hidden patterns between KM and its performance
Knowledge-Based Systems
Corporate portal: a tool for knowledge management synchronization
International Journal of Information Management: The Journal for Information Professionals
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From the Publisher:Take the right steps for a successful career in data management Data Management, 2/e provides students with the fundamental skills necessary to succeed in todays competitive job market. Great emphasis is placed on the core skills of data management, with extensive coverage on data modeling and SQL. This coverage is intertwined so that students more readily understand the intent of data modeling. This method helps them quickly learn the reason for data modeling and appreciate why it is a valuable skill. Since information systems professionals need to develop a wide perspective of data management to comprehend the role of information technology, this text includes sections on data warehousing, OLAP, data mining, groupware, imaging systems, and the Web. The book also contains useful reference sections, including data modeling and SQL, that will help students during the course and throughout their careers. After completing Data Management, 2/e, a student will:*have a broad, managerial perspective of an organizations need for data management;*be able to design and create a relational database;*be able to formulate complex SQL queries;*have a sound understanding of database architectures and their managerial implications;*be familiar with the full range of information technologies available for management organizational data;*understand the fundamentals of data administration; and*know about data management developments and their organizational implications.