best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined
Premium SQL Data modeling Relational model
Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed‚ “businesses‚ industries‚ governments‚ universities‚ scientists‚ consumers‚ and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an unbelievable
Free Data Data analysis Business intelligence
south American Country Economics concerns Written by Travis Eldridge Macroeconomics A.I.U Introduction This paper I am writing is concerned with the economic considerations of a South American country and shall analyze the impact of an economic concern as followed
Premium Economic growth Economics Gross domestic product
AEI-B Student Number: Graded Writing Assignment 1 – Data Commentary – Chart #5 According to a chart created by using the IMF DataMapper‚ the real per capita GDP of several Asian countries has risen since 2008 and will continue to rise. Despite this similarity‚ the Asian countries in the chart can be divided into four groups. The data in the chart indicates that Malaysia is moderately distinguished among other Asian countries. Since 2008‚ it has become the highest per capita GDP of $14
Premium Economic growth Southeast Asia Gross domestic product
“Effects of Family Demographics on Pester Power” By MURK NIAZ (9945) MUHAMMAD SHAHRUKH UDDIN (11551) HAFIZ MUHAMMAD YASIR (14220) MIR MUHAMMAD ASAD ULLAH (14108) A research proposal submitted in partial fulfillment of the requirements for the degree of Bachelors of Business Administration to Iqra University Research Centre (IURC) at the Iqra University‚ main campus‚ Karachi Karachi‚ Pakistan 13th Dec‚ 2013 ACKNOWLEDGEMENT We would like to thank Almighty Allah for giving us the
Premium Research Junk food Nutrition
SECURITY TELECOMMUNICATIONS AND INFORMATION SYSTEMS SECURITY NATIONAL TRAINING STANDARD FOR INFORMATION SYSTEMS SECURITY (INFOSEC) PROFESSIONALS NSTISS NATIONAL SECURITY TELECOMMUNICATIONS AND INFORMATION SYSTEMS SECURITY NATIONAL MANAGER FOREWORD 1. This instruction provides the minimum course content for the training of information systems security (INFOSEC) professionals in the disciplines of telecommunications security and automated information systems (AIS) security. 2. Representatives
Premium Security Computer security Information security
valuable asset in order for groups and teams to become high performance groups and teams. Every group or team leader must be aware of the demographic characteristics and the cultural diversity of the team in order to become effective. Groups and Teams There are many factors that affect a team’s performance; from leadership and communication‚ to demographic characteristics and cultural diversity. Each impacts the team in its own way. With out these major factors being forced upon a team or group
Premium Culture Leadership Sociology
Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
Premium Data warehouse Business intelligence Data management
model was developed. This model was used with empirical data collected in a job shop manufacturing system in order to test the usefulness and validity of the dynamic complex index. The Business Dynamic model analyzed the trend of the index in function of different inputs in a selected work center. The results showed that the maximum value of the dynamic complexity index represents the so called “edge of chaos”‚ where the amount of information needed to manage the system is maximum and where there
Premium Complexity Information theory Computational complexity theory
Queenie 1097300104 E5B Data Analysis First Part Personal information: including the participants’ gender‚ age‚ educational background‚ marital status and monthly income. Gender As Figure 1 showed‚ there were 45% of female participants and 55% of male. The numbers of the participants of each gender were very close. Age The respondents were all my friends on Facebook; as the result‚ the majority (73%) of their age was in the range of 16-20‚ as seen in Figure 2. Figure 1: Gender
Premium Facebook