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
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
Input Filter Design for Switching Power Supplies: Written by Michele Sclocchi Michele.Sclocchi@nsc.com Application Engineer‚ National Semiconductor The design of a switching power supply has always been considered a kind of magic and art‚ for all the engineers that design one for the first time. Fortunately‚ today the market offers different tools that help the designers. National Semiconductor was the first company to offer the “Simple Switcher” software‚ and an on-line simulation tool
Premium Capacitor Control theory Inductor
Fig.1. Example of Embedded System 1.2 AIM OF THE PROJECT: This project is to design a data acquisition system through PC. 1.3 SIGNIFICANCE OF THE WORK: The purpose of the project is to design a data acquisition system through PC. The main objective of this project is to design a data acquisition system through PC. PC based wireless data acquisition
Premium Rectifier Modulation
Introduction to Data Modeling and MSAccess CONTENT 1 2 3 4 5 6 Introduction to Data Modeling ............................................................................................................... 5 1.1 Data Modeling Overview ............................................................................................................... 5 1.1.1 Methodology .......................................................................................................................... 6 1.1.2 Data Modeling
Premium Entity-relationship model Data modeling
Experiment No 2: Title: Characteristic electrical output of a PV module Objective: 1. To investigate the characteristic IV and power curves of a PV module 2. To determine maximum power transfer and the optimized load to obtain maximum power transfer from the solar cell to the load Components: 1. PV module 2. 2 units of Multimeters (mA Ammeter‚ Voltmeter) 3. Variable resistors (50 (‚ 100 (‚ 1 k(‚ 5 k() 4. Retort stand 5. Xenon Lamp (Solar simulator) 6. DC power
Premium Resistor Photovoltaics Solar cell
In the late 1970s data-flow diagrams (DFDs) were introduced and popularized for structured analysis and design (Gane and Sarson 1979). DFDs show the flow of data from external entities into the system‚ showed how the data moved from one process to another‚ as well as its logical storage. Figure 1 presents an example of a DFD using the Gane and Sarson notation. There are only four symbols: Squares representing external entities‚ which are sources or destinations of data. Rounded rectangles
Premium Data flow diagram
Chapter 12 Data Envelopment Analysis Data Envelopment Analysis DEA is an increasingly popular management tool. This write-up is an introduction to Data Envelopment Analysis DEA for people unfamiliar with the technique. For a more in-depth discussion of DEA‚ the interested reader is referred to Seiford and Thrall 1990 or the seminal work by Charnes‚ Cooper‚ and Rhodes 1978 . DEA is commonly used to evaluate the e ciency of a number of producers. A typical statistical approach is characterized
Premium Linear programming Input Linear
Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
Premium Data mining
1 CIPD unit 4DEP - Version 2 18.03.10 Unit title Developing Yourself as an Effective Human Resources or Learning and Development Practitioner Level 4 1 Credit value 4 Unit code 4DEP Unit review date Sept. 2011 Purpose and aim of unit The CIPD has developed a map of the HR profession (HRPM) that describes the knowledge‚ skills and behaviours required by human resources (HR) and learning and development (L&D) professionals. This unit is designed to enable the learner
Premium Learning Virtual learning environment Learning management system