Computers Are Your Future
|
|
|
- Erin Warren
- 6 years ago
- Views:
Transcription
1 Computers Are Your Future Twelfth Edition Chapter 12: Databases and Information Systems Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 1
2 Databases and Information Systems Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 2
3 Objectives Describe the basic components of a database. Describe the qualities of a good database. Distinguish between file management programs and relational database management systems, and explain the advantages and disadvantages of each. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 3
4 Objectives Differentiate between advanced database programs and applications, such as data warehouses, data mining, client/server database systems, and Web-database integration. List the components and main functions of an information system. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 4
5 Objectives Recognize the functional divisions and business units of an organization. List the major types of information systems used in today s organizations. Describe how the retail sector is taking advantage of computer databases to increase sales and gain a competitive edge. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 5
6 Hierarchy(Levels) of Data Storage Database ofiles (Tables) Records (Rows) ofields (Columns) Characters (Types)(Bytes) obits Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 6
7 The Levels of Data in a Database Database units (con t.) o Database One or more related data files/tables o Data file (table) Collection of related records (rows) Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 7
8 The Levels of Data in a Database Database units (con t.) o Record Includes a group of related fields Contained in tables or data files Has a primary key unique identifier for each record o Field Single unit of relative information Has a field name identifies content Content is data type includes items as Text, Number, Currency, Date/Time Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 8
9 The Levels of Data in a Database Database units o Character (Byte) o Bit A letter, number, or symbol Made of bytes groups of 8 bits Smallest useable unit of data Smallest unit of data stored by a computer Contains either a 1 or a 0 Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 9
10 The Levels of Data in a Database Database o Organized collection of related data so it is easy to: Access Manage Update Group Summarize Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 10
11 The Levels of Data in a Database Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 11
12 Advantages of Database Management Systems Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 12
13 Advantages of Database Management Systems Data integrity o Data is valid Data validation o Techniques used to help prevent errors Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 13
14 Advantages of Database Management Systems Data independence o Separate from applications o Changes do not require changes in structure of forms, reports, or programs accessing databases Avoiding data redundancy o Enter data only once o Multiple entries of the same data a sign of a poorly developed system Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 14
15 Advantages of Database Management Systems Data security o Prevents contents from being accessed by unauthorized users (e.g., medical records, financial data) o Audit trail report of who accesses which data Data maintenance o Required for proper care and protection o Add records o Modify records o Delete records Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 15
16 Types of Database Programs Database Programs Software used to create databases o File management program Generates a flat file, meaning that there is no relationship with fields in other files o Database management systems (DBMS s) Manage multiple tables or files Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 16
17 Types of Database Programs File management systems o Useful for personal and small business needs o Used to develop a simple computerized system for information storage and retrieval o Inexpensive and easy to use o Unable to link to data stored in other files Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 17
18 Types of Database Programs DBMS (Database management systems) o Connects several files or tables o Manages, accesses, stores, and edits data o Available in a variety of forms o Able to present information in reports and other formats Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 18
19 Types of Database Programs Popular DBMS software Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 19
20 Types of Database Programs DBMS classifications o Flat o Relational o Object oriented o Multidimensional Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 20
21 Types of Database Programs RDBMS (Relational database management systems) o Most widely used class of DBMS o Primary key field used as index to locate records o Queries can be done through SQL o Data dictionary lists all tables in database o Compared to file management program, RDBMS is: More expensive More difficult to learn Better at controlling data redundancy Better at preventing potential data errors Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 21
22 Types of Database Programs Microsoft Access Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 22
23 Types of Database Programs ODBMS (Object-oriented database management systems) o Suits media applications o Data represented as objects o Incorporate sound, video, text, and graphics o Well suited for applications such as: Financial portfolio risk analysis Design and manufacturing systems Hospital patient record systems Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 23
24 Types of Database Programs Multidimensional databases o Depicted as a data cube o Dimensions typically categories (i.e., time, products, sales, customers, budget, and markets) o Choice for online analytical processing (OLAP) Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 24
25 Types of Database Programs Data warehouses o Central location capable of storing all corporate information o Data available for analysis o Helps executives make decisions Use drill-down method (start with summary level and move down) to focus on specific data o Data marts similar but support a department or division Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 25
26 Data mining Types of Database Programs o Explores and analyzes data o Determines data patterns helpful for making decisions o Managers better understand customers and market o Can help predict future trends o Variation is Web mining Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 26
27 Types of Database Programs Client/server database systems o Use database server software responds to remote users requests for information o Use database client software provides an interface with the user o Use queries to request information from the database server Examples: ATMs and online banking Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 27
28 Types of Database Programs Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 28
29 Types of Database Programs Web database integration Taking database information and making it accessible via the Internet o Google, Yahoo!, Wikipedia Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 29
30 Types of Database Programs Cloud computing database Amazon SimpleDB Google AppEngine Datastore Microsoft SQL Data Services Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 30
31 Information Systems: Tools for Global Competitiveness Information systems o Integrate: People Hardware Software Data Procedures Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 31
32 Information Systems: Tools for Global Competitiveness Information systems (con t.) o Perform many functions: Accepts input (data) Processes data into information Stores data Disseminates information throughout organization Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 32
33 Information Systems: Tools for Global Competitiveness Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 33
34 Information Systems: Tools for Global Competitiveness Reduce information overload o Route to appropriate users o Summarize o Provide information to selected people with specific needs o Eliminate unnecessary information Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 34
35 Information Systems: Tools for Global Competitiveness Functional divisions o Manage core functions of an organization Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 35
36 Information Systems: Tools for Global Competiveness Typical functional divisions o Accounting Accounts payable, accounts receivable, cost accounting, sales information, accounting reports May use spreadsheets on a client/server network o Finance Forecasting, budgeting, cash management, budget analysis, financial reports Spreadsheets o Marketing and sales Maintaining public image and generating sales Spreadsheets, Databases Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 36
37 Information Systems: Tools for Global Competiveness Typical functional divisions (con t) o Human Resources Tracks employees Databases o Production/operation Plans and controls processes that produce goods and services Mainframe systems o Information Systems System of people, data records, hardware and software that process data and information Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 37
38 Information Systems: Tools for Global Competiveness Business units: Division of company, product line or group independent of other business units o Use of information systems: Analyze markets Provide analysis and summary of market information Review and adjust strategies Influence competition Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 38
39 Information Systems in Organizations: A Survey Transaction processing systems o Handle day-to-day accounting needs o Keeps record of every transaction involving money o Save money by automating routine recordkeeping o Batch online processing Management information systems o Provide information needed to make decisions o Generate predefined reports Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 39
40 Information Systems in Organizations: A Survey Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 40
41 Information Systems in Organizations: A Survey Decision support systems o Produce reports more specific than management information system reports o Enable managers to create simulations OLAP (online analytical processing) Executive information systems o Help top-level managers make strategic decisions o Filter critical information to show trends Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 41
42 Information Systems in Organizations: A Survey Knowledge management systems o Use information from books and experienced individuals to assist decision making Expert systems o Rely on detailed and in-depth knowledge of experts in a specific field o Use knowledge base to generate answers Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 42
43 Information Systems in Organizations: A Survey Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 43
44 Information Systems in Organizations: A Survey Retail sector o Computers and databases not only used for traditional applications Point-of-sale (POS) o Credit card authorization o Inventory system o Check-screening system o Signature capture system o Photo checkout system o Marketing devices Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 44
45 Summary A database is a collection of data stored in an organized way. The units of a database are: table or data file, records, field, and bit. A good database ensures data integrity, promotes data independence, avoids data redundancy, ensures data security, and provides procedures for data maintenance. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 45
46 Summary File management programs, which work with a single flat file, are easy to use and inexpensive. A database management system works with two or more data files that can be related by common fields. Data warehouses bring data together from many smaller databases into one massive database. Data mining and Web mining explore data to discover unknown patterns. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 46
47 Summary Client-server database systems and Web database integration are examples of Database management systems (DBMS). An information system includes data, hardware, software, people, and procedures. Functional divisions of an organization include: accounting, finance, marketing and sales, human resources, production/ operations, and information systems. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 47
48 Summary Information systems include: transaction processing systems, management information systems, decision support systems, executive information system, knowledge management systems, and expert systems. The retail sector s use of POS terminals, when linked with inventory databases and other systems such as checkscreening systems, provides businesses with the ability to perform many business tasks effectively. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 48
49 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. Printed in the United States of America. Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 49
Computers Are Your Future
Computers Are Your Future Computers Are Your Future Databases and Information Systems Slide 2 What You Will Learn About The potential uses of a database program The basic components of a database The differences
Managing Data Resources
Chapter 7 Managing Data Resources 7.1 2006 by Prentice Hall OBJECTIVES Describe basic file organization concepts and the problems of managing data resources in a traditional file environment Describe how
16/06/56. Databases. Databases. Databases The McGraw-Hill Companies, Inc. All rights reserved.
Distinguish between the physical and logical views of data. Describe how data is organized: characters, fields, records, tables, and databases. Define key fields and how they are used to integrate data
Databases The McGraw-Hill Companies, Inc. All rights reserved.
Distinguish between the physical and logical views of data. Describe how data is organized: characters, fields, records, tables, and databases. Define key fields and how they are used to integrate data
TIM 50 - Business Information Systems
TIM 50 - Business Information Systems Lecture 15 UC Santa Cruz Nov 10, 2016 Class Announcements n Database Assignment 2 posted n Due 11/22 The Database Approach to Data Management The Final Database Design
Management Information Systems MANAGING THE DIGITAL FIRM, 12 TH EDITION FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT
MANAGING THE DIGITAL FIRM, 12 TH EDITION Chapter 6 FOUNDATIONS OF BUSINESS INTELLIGENCE: DATABASES AND INFORMATION MANAGEMENT VIDEO CASES Case 1: Maruti Suzuki Business Intelligence and Enterprise Databases
Managing Data Resources
Chapter 7 OBJECTIVES Describe basic file organization concepts and the problems of managing data resources in a traditional file environment Managing Data Resources Describe how a database management system
Management Information Systems Review Questions. Chapter 6 Foundations of Business Intelligence: Databases and Information Management
Management Information Systems Review Questions Chapter 6 Foundations of Business Intelligence: Databases and Information Management 1) The traditional file environment does not typically have a problem
TIM 50 - Business Information Systems
TIM 50 - Business Information Systems Lecture 15 UC Santa Cruz May 20, 2014 Announcements DB 2 Due Tuesday Next Week The Database Approach to Data Management Database: Collection of related files containing
Management Information Systems
Foundations of Business Intelligence: Databases and Information Management Lecturer: Richard Boateng, PhD. Lecturer in Information Systems, University of Ghana Business School Executive Director, PearlRichards
Chapter 12. Databases. McGraw-Hill/Irwin. Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved.
Chapter 12 Databases McGraw-Hill/Irwin Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Introduction to Databases Much like a library, secondary storage is designed to store information.
WKU-MIS-B10 Data Management: Warehousing, Analyzing, Mining, and Visualization. Management Information Systems
Management Information Systems Management Information Systems B10. Data Management: Warehousing, Analyzing, Mining, and Visualization Code: 166137-01+02 Course: Management Information Systems Period: Spring
Chapter 6 VIDEO CASES
Chapter 6 Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:
Unit 10 Databases. Computer Concepts Unit Contents. 10 Operational and Analytical Databases. 10 Section A: Database Basics
Unit 10 Databases Computer Concepts 2016 ENHANCED EDITION 10 Unit Contents Section A: Database Basics Section B: Database Tools Section C: Database Design Section D: SQL Section E: Big Data Unit 10: Databases
Topics covered 10/12/2015. Pengantar Teknologi Informasi dan Teknologi Hijau. Suryo Widiantoro, ST, MMSI, M.Com(IS)
Pengantar Teknologi Informasi dan Teknologi Hijau Suryo Widiantoro, ST, MMSI, M.Com(IS) 1 Topics covered 1. Basic concept of managing files 2. Database management system 3. Database models 4. Data mining
Question Bank. 4) It is the source of information later delivered to data marts.
Question Bank Year: 2016-2017 Subject Dept: CS Semester: First Subject Name: Data Mining. Q1) What is data warehouse? ANS. A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile
This tutorial will help computer science graduates to understand the basic-to-advanced concepts related to data warehousing.
About the Tutorial A data warehouse is constructed by integrating data from multiple heterogeneous sources. It supports analytical reporting, structured and/or ad hoc queries and decision making. This
IT1105 Information Systems and Technology. BIT 1 ST YEAR SEMESTER 1 University of Colombo School of Computing. Student Manual
IT1105 Information Systems and Technology BIT 1 ST YEAR SEMESTER 1 University of Colombo School of Computing Student Manual Lesson 3: Organizing Data and Information (6 Hrs) Instructional Objectives Students
Figure 1-1a Data in context. Context helps users understand data
Chapter 1: The Database Environment Modern Database Management 9 th Edition Jeffrey A. Hoffer, Mary B. Prescott, Heikki Topi 2009 Pearson Education, Inc. Publishing as Prentice Hall 1 Definition of terms
5-1McGraw-Hill/Irwin. Copyright 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
5-1McGraw-Hill/Irwin Copyright 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 5 hapter Data Resource Management Data Concepts Database Management Types of Databases McGraw-Hill/Irwin Copyright
Chapter 3. Databases and Data Warehouses: Building Business Intelligence
Chapter 3 Databases and Data Warehouses: Building Business Intelligence How Can a Business Increase its Intelligence? Summary Overview of Main Concepts Details/Design of a Relational Database Creating
DATA MINING AND WAREHOUSING
DATA MINING AND WAREHOUSING Qno Question Answer 1 Define data warehouse? Data warehouse is a subject oriented, integrated, time-variant, and nonvolatile collection of data that supports management's decision-making
Chapter 3. Foundations of Business Intelligence: Databases and Information Management
Chapter 3 Foundations of Business Intelligence: Databases and Information Management THE DATA HIERARCHY TRADITIONAL FILE PROCESSING Organizing Data in a Traditional File Environment Problems with the traditional
DATA WAREHOUSE EGCO321 DATABASE SYSTEMS KANAT POOLSAWASD DEPARTMENT OF COMPUTER ENGINEERING MAHIDOL UNIVERSITY
DATA WAREHOUSE EGCO321 DATABASE SYSTEMS KANAT POOLSAWASD DEPARTMENT OF COMPUTER ENGINEERING MAHIDOL UNIVERSITY CHARACTERISTICS Data warehouse is a central repository for summarized and integrated data
CHAPTER 6 DATABASE MANAGEMENT SYSTEMS
CHAPTER 6 DATABASE MANAGEMENT SYSTEMS Management Information Systems, 10 th edition, By Raymond McLeod, Jr. and George P. Schell 2007, Prentice Hall, Inc. 1 Learning Objectives Understand the hierarchy
Chapter 11 Databases. Computer Concepts 2013
Chapter 11 Databases Computer Concepts 2013 11 Chapter Contents Section A: File and Database Concepts Section B: Data Management Tools Section C: Database Design Section D: SQL Section E: Database Security
This tutorial has been prepared for computer science graduates to help them understand the basic-to-advanced concepts related to data mining.
About the Tutorial Data Mining is defined as the procedure of extracting information from huge sets of data. In other words, we can say that data mining is mining knowledge from data. The tutorial starts
by Prentice Hall
Chapter 6 Foundations of Business Intelligence: Databases and Information Management 6.1 2010 by Prentice Hall Organizing Data in a Traditional File Environment File organization concepts Computer system
1 DATAWAREHOUSING QUESTIONS by Mausami Sawarkar
1 DATAWAREHOUSING QUESTIONS by Mausami Sawarkar 1) What does the term 'Ad-hoc Analysis' mean? Choice 1 Business analysts use a subset of the data for analysis. Choice 2: Business analysts access the Data
COMP 465 Special Topics: Data Mining
COMP 465 Special Topics: Data Mining Introduction & Course Overview 1 Course Page & Class Schedule http://cs.rhodes.edu/welshc/comp465_s15/ What s there? Course info Course schedule Lecture media (slides,
Chapter 6. Foundations of Business Intelligence: Databases and Information Management VIDEO CASES
Chapter 6 Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:
Chapter 3: AIS Enhancements Through Information Technology and Networks
Accounting Information Systems: Essential Concepts and Applications Fourth Edition by Wilkinson, Cerullo, Raval, and Wong-On-Wing Chapter 3: AIS Enhancements Through Information Technology and Networks
TDWI Data Modeling. Data Analysis and Design for BI and Data Warehousing Systems
Data Analysis and Design for BI and Data Warehousing Systems Previews of TDWI course books offer an opportunity to see the quality of our material and help you to select the courses that best fit your
OLAP Introduction and Overview
1 CHAPTER 1 OLAP Introduction and Overview What Is OLAP? 1 Data Storage and Access 1 Benefits of OLAP 2 What Is a Cube? 2 Understanding the Cube Structure 3 What Is SAS OLAP Server? 3 About Cube Metadata
Information Systems and Networks
Information Systems and Networks by Samuel Rota Bulò Department of Management Università Ca' Foscari Venezia Lesson 5 Databased and Information Management Case study: RR Donnelley giant commercial printing
Modern Systems Analysis and Design Sixth Edition
Modern Systems Analysis and Design Sixth Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Designing Databases Learning Objectives Concisely define each of the following key database design terms:
Chapter 13 Business Intelligence and Data Warehouses The Need for Data Analysis Business Intelligence. Objectives
Chapter 13 Business Intelligence and Data Warehouses Objectives In this chapter, you will learn: How business intelligence is a comprehensive framework to support business decision making How operational
Technology In Action, Complete, 14e (Evans et al.) Chapter 11 Behind the Scenes: Databases and Information Systems
Technology In Action, Complete, 14e (Evans et al.) Chapter 11 Behind the Scenes: Databases and Information Systems 1) A is a collection of related data that can be stored, sorted, organized, and queried.
Accounting Information Systems, 2e (Kay/Ovlia) Chapter 2 Accounting Databases. Objective 1
Accounting Information Systems, 2e (Kay/Ovlia) Chapter 2 Accounting Databases Objective 1 1) One of the disadvantages of a relational database is that we can enter data once into the database, and then
Data Warehouse and Data Mining
Data Warehouse and Data Mining Lecture No. 07 Terminologies Naeem Ahmed Email: naeemmahoto@gmail.com Department of Software Engineering Mehran Univeristy of Engineering and Technology Jamshoro Database
Entities and Attributes. Image 6.2 Image 6.3
Image. 6.1 Entities and Attributes Image 6.2 Image 6.3 Organizing Data in a Relational DataBase Estabilishing Relationships 6.4 6.5 6-2 What are the principles of a database management system? A database
Modern Systems Analysis and Design
Modern Systems Analysis and Design Sixth Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Designing Databases Learning Objectives Concisely define each of the following key database design terms:
Chapter 08. Consideration of Internal Control in an Information Technology Environment. McGraw-Hill/Irwin
Chapter 08 Consideration of Internal Control in an Information Technology Environment McGraw-Hill/Irwin Copyright 2012 by The McGraw-Hill Companies, Inc. All rights reserved. Nature of IT Based Systems
Figure 9.1 A file versus a database organization. Database 12/28/2014. Chapter 9: Database Systems
Chapter 9: Database Systems Computer Science: An Overview Twelfth Edition by J. Glenn Brookshear Dennis Brylow Chapter 9: Database Systems 9.1 Database Fundamentals 9.2 The Relational Model 9.3 Object-Oriented
Data Mining & Data Warehouse
Data Mining & Data Warehouse Associate Professor Dr. Raed Ibraheem Hamed University of Human Development, College of Science and Technology (1) 2016 2017 1 Points to Cover Why Do We Need Data Warehouses?
Chapter 12 Databases and Database Management Systems
Chapter 12 Databases and Database Management Systems permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use. What Is a Database?
Modern Systems Analysis and Design Sixth Edition. Jeffrey A. Hoffer Joey F. George Joseph S. Valacich
Modern Systems Analysis and Design Sixth Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Designing Distributed and Internet Systems Learning Objectives Define the key terms client/server architecture,
Phillip Labry Sr. BI Engineer IT development for over 25 years Developer, DBA, BI Consultant Experience with Manufacturing, Telecom, Banking, Retail,
Phillip Labry Phillip Labry Sr. BI Engineer IT development for over 25 years Developer, DBA, BI Consultant Experience with Manufacturing, Telecom, Banking, Retail, Government, Energy, Insurance, Healthcare,
Data Warehouse and Data Mining
Data Warehouse and Data Mining Lecture No. 04-06 Data Warehouse Architecture Naeem Ahmed Email: naeemmahoto@gmail.com Department of Software Engineering Mehran Univeristy of Engineering and Technology
CHAPTER 8 DECISION SUPPORT V2 ADVANCED DATABASE SYSTEMS. Assist. Prof. Dr. Volkan TUNALI
CHAPTER 8 DECISION SUPPORT V2 ADVANCED DATABASE SYSTEMS Assist. Prof. Dr. Volkan TUNALI Topics 2 Business Intelligence (BI) Decision Support System (DSS) Data Warehouse Online Analytical Processing (OLAP)
OBJECTIVES DEFINITIONS CHAPTER 1: THE DATABASE ENVIRONMENT AND DEVELOPMENT PROCESS. Figure 1-1a Data in context
OBJECTIVES CHAPTER 1: THE DATABASE ENVIRONMENT AND DEVELOPMENT PROCESS Modern Database Management 11 th Edition Jeffrey A. Hoffer, V. Ramesh, Heikki Topi! Define terms! Name limitations of conventional
KORA. Business Intelligence An Introduction
Business Intelligence An Introduction Outline What is Business Intelligence Business Intelligence Market BI Tools & Users What should be understood when someone uses the term Business Intellingence? But
Lecture 18. Business Intelligence and Data Warehousing. 1:M Normalization. M:M Normalization 11/1/2017. Topics Covered
Lecture 18 Business Intelligence and Data Warehousing BDIS 6.2 BSAD 141 Dave Novak Topics Covered Test # Review What is Business Intelligence? How can an organization be data rich and information poor?
Knowledge Modelling and Management. Part B (9)
Knowledge Modelling and Management Part B (9) Yun-Heh Chen-Burger http://www.aiai.ed.ac.uk/~jessicac/project/kmm 1 A Brief Introduction to Business Intelligence 2 What is Business Intelligence? Business
Department of Industrial Engineering. Sharif University of Technology. Operational and enterprises systems. Exciting directions in systems
Department of Industrial Engineering Sharif University of Technology Session# 9 Contents: The role of managers in Information Technology (IT) Organizational Issues Information Technology Operational and
Foundations of Business Intelligence: Databases and Information Management
Foundations of Business Intelligence: Databases and Information Management TOPIC 1: Foundations of Business Intelligence: Databases and Information Management TOPIC 1: Foundations of Business Intelligence:
Data Warehouse and Data Mining
Data Warehouse and Data Mining Lecture No. 03 Architecture of DW Naeem Ahmed Email: naeemmahoto@gmail.com Department of Software Engineering Mehran Univeristy of Engineering and Technology Jamshoro Basic
Introduction to Computer Applications. CISY 1225 Chapter 10. Zahoor Khan, PhD
Introduction to Computer Applications CISY 1225 Chapter 10 Zahoor Khan, PhD Last updated: May 2014 No new topics I will not be here Next Week Mashtura will help you Class time is for practice Do your own
DATA MINING TRANSACTION
DATA MINING Data Mining is the process of extracting patterns from data. Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage. It is
E-commerce. business. technology. society. Kenneth C. Laudon Carol Guercio Traver. Sixth Edition
E-commerce business. technology. society. Sixth Edition Kenneth C. Laudon Carol Guercio Traver Copyright 2010 2009 Pearson Education, Inc. Slide 4-1 Building an E-commerce Web Site Copyright 2010 2009
5. Technology Applications
5. Technology Applications 5.1 What is a Database? 5.2 Types of Databases 5.3 Choosing the Right Database 5.4 Database Programming Tools 5.5 How to Search Your Database 5.6 Data Warehousing and Mining
IBM Planning Analytics
Software Consulting Training Support Budgeting & Forecasting Modelling Analysis Reporting IBM Planning Analytics On Premises. On Cloud. IBM Worldwide Business Analytics Partner of the Year 2011, 2012,
The Data Organization
C V I T F E P A O TM The Data Organization Best Practices Metadata Dictionary Application Architecture Prepared by Rainer Schoenrank January 2017 Table of Contents 1. INTRODUCTION... 3 1.1 PURPOSE OF THE
The strategic advantage of OLAP and multidimensional analysis
IBM Software Business Analytics Cognos Enterprise The strategic advantage of OLAP and multidimensional analysis 2 The strategic advantage of OLAP and multidimensional analysis Overview Online analytical
PowerPoint Presentation to Accompany GO! All In One. Chapter 13
PowerPoint Presentation to Accompany GO! Chapter 13 Create, Query, and Sort an Access Database; Create Forms and Reports 2013 Pearson Education, Inc. Publishing as Prentice Hall 1 Objectives Identify Good
Guide Users along Information Pathways and Surf through the Data
Guide Users along Information Pathways and Surf through the Data Stephen Overton, Overton Technologies, LLC, Raleigh, NC ABSTRACT Business information can be consumed many ways using the SAS Enterprise
DATA WAREHOUSING IN LIBRARIES FOR MANAGING DATABASE
DATA WAREHOUSING IN LIBRARIES FOR MANAGING DATABASE Dr. Kirti Singh, Librarian, SSD Women s Institute of Technology, Bathinda Abstract: Major libraries have large collections and circulation. Managing
Inputs. Decisions. Leads to
Chapter 6: Physical Database Design and Performance Modern Database Management 9 th Edition Jeffrey A. Hoffer, Mary B. Prescott, Heikki Topi 2009 Pearson Education, Inc. Publishing as Prentice Hall 1 Objectives
IT DATA WAREHOUSING AND DATA MINING UNIT-2 BUSINESS ANALYSIS
PART A 1. What are production reporting tools? Give examples. (May/June 2013) Production reporting tools will let companies generate regular operational reports or support high-volume batch jobs. Such
Chapter 10 Managing a Database. Discovering Computers Your Interactive Guide to the Digital World
Chapter 10 Managing a Database Discovering Computers 2012 Your Interactive Guide to the Digital World Objectives Overview Define the term, database, and explain how a database interacts with data and information
Computers Are Your Future Eleventh Edition Chapter 7: Networks: Communicating & Sharing Resources
Computers Are Your Future Eleventh Edition Chapter 7: Networks: Communicating & Sharing Resources Copyright 2011 Pearson Education, Inc. Publishing as Prentice Hall 1 All rights reserved. No part of this
Evolution of Database Systems
Evolution of Database Systems Krzysztof Dembczyński Intelligent Decision Support Systems Laboratory (IDSS) Poznań University of Technology, Poland Intelligent Decision Support Systems Master studies, second
Business Intelligence and Decision Support Systems
Business Intelligence and Decision Support Systems (9 th Ed., Prentice Hall) Chapter 8: Data Warehousing Learning Objectives Understand the basic definitions and concepts of data warehouses Learn different
MICROSOFT DYNAMICS GP GENERAL LEDGER YEAR-END CLOSING PROCEDURES
GENERAL LEDGER YEAR-END CLOSING PROCEDURES Before you perform year-end closing procedures, you will need to: complete the posting of all entries and adjusting entries to reflect the transactions for the
Processing Techniques. Chapter 7: Design and Development and Evaluation of Systems. Online Processing. Real-time Processing
Processing Techniques Chapter 7: Design and Development and Evaluation of Systems The Processing Methods for a system can be divided into: Online Processing Real-time Processing Batch Processing B2001
Chapter 2 Introduction to Transaction Processing
Chapter 2 Introduction to Transaction Processing TRUE/FALSE 1. Processing more transactions at a lower unit cost makes batch processing more efficient than real-time systems. T 2. The process of acquiring
Overview. Introduction to Data Warehousing and Business Intelligence. BI Is Important. What is Business Intelligence (BI)?
Introduction to Data Warehousing and Business Intelligence Overview Why Business Intelligence? Data analysis problems Data Warehouse (DW) introduction A tour of the coming DW lectures DW Applications Loosely
Teradata Aggregate Designer
Data Warehousing Teradata Aggregate Designer By: Sam Tawfik Product Marketing Manager Teradata Corporation Table of Contents Executive Summary 2 Introduction 3 Problem Statement 3 Implications of MOLAP
Dr.G.R.Damodaran College of Science
1 of 20 8/28/2017 2:13 PM Dr.G.R.Damodaran College of Science (Autonomous, affiliated to the Bharathiar University, recognized by the UGC)Reaccredited at the 'A' Grade Level by the NAAC and ISO 9001:2008
: How does DSS data differ from operational data?
by Daniel J Power Editor, DSSResources.com Decision support data used for analytics and data-driven DSS is related to past actions and intentions. The data is a historical record and the scale of data
6+ years of experience in IT Industry, in analysis, design & development of data warehouses using traditional BI and self-service BI.
SUMMARY OF EXPERIENCE 6+ years of experience in IT Industry, in analysis, design & development of data warehouses using traditional BI and self-service BI. 1.6 Years of experience in Self-Service BI using
MCQ IN BCOM II SEMESTER MANAGEMENT INFORMTION SYSTEM
MCQ IN BCOM II SEMESTER MANAGEMENT INFORMTION SYSTEM Multiple choice questions 1. Relational calculus is a a. Procedural language. b. None- Procedural language. c. Data definition language. d. High level
Accounting Ethics and Auditing
Accounting Ethics and Auditing Only three percent of adults have career-boosting professional certifications you can be one of them. And you can earn while meeting Colorado CPA licensure requirements including
Data Analysis and Data Science
Data Analysis and Data Science CPS352: Database Systems Simon Miner Gordon College Last Revised: 4/29/15 Agenda Check-in Online Analytical Processing Data Science Homework 8 Check-in Online Analytical
Q1) Describe business intelligence system development phases? (6 marks)
BUISINESS ANALYTICS AND INTELLIGENCE SOLVED QUESTIONS Q1) Describe business intelligence system development phases? (6 marks) The 4 phases of BI system development are as follow: Analysis phase Design
Discovering Computers Fundamentals, 2011 Edition. Living in a Digital World
Discovering Computers Fundamentals, 2011 Edition Living in a Digital World Objectives Overview Define the term, database, and explain how a database interacts with data and information Describe the qualities
Emerging Technologies The risks they pose to your organisations
Emerging Technologies The risks they pose to your organisations 10 June 2016 Digital trends are fundamentally changing the way that customers behave and companies operate Mobile Connecting people and things
Digital Planet: Tomorrow s Technology and You. George Beekman Ben Beekman. Tenth Edition
Digital Planet: Tomorrow s Technology and You George Beekman Ben Beekman Tenth Edition Digital Planet: Tomorrow s Technology and You Chapter 7 Database Applications and Privacy Implications Chapter 7 Objectives
Philadelphia University FACULTY OF ADMINISTRATIVE & FINANCIAL SCIENCES Department of Accounting 0000 Semester
Philadelphia University FACULTY OF ADMINISTRATIVE & FINANCIAL SCIENCES Department of Accounting 0000 Semester000000 Course Syllabus Course Title: Accounting Information Systems Course Level: fourth year
CT75 (ALCCS) DATA WAREHOUSING AND DATA MINING JUN
Q.1 a. Define a Data warehouse. Compare OLTP and OLAP systems. Data Warehouse: A data warehouse is a subject-oriented, integrated, time-variant, and 2 Non volatile collection of data in support of management
Fig 1.2: Relationship between DW, ODS and OLTP Systems
1.4 DATA WAREHOUSES Data warehousing is a process for assembling and managing data from various sources for the purpose of gaining a single detailed view of an enterprise. Although there are several definitions
Sample Copy. Not For Distribution.
Exam Made Easy i Publishing-in-support-of, EDUCREATION PUBLISHING RZ 94, Sector - 6, Dwarka, New Delhi - 110075 Shubham Vihar, Mangla, Bilaspur, Chhattisgarh - 495001 Website: www.educreation.in Copyright,
Database Vs. Data Warehouse
Database Vs. Data Warehouse Similarities and differences Databases and data warehouses are used to generate different types of information. Information generated by both are used for different purposes.
The functions performed by a typical DBMS are the following:
MODULE NAME: Database Management TOPIC: Introduction to Basic Database Concepts LECTURE 2 Functions of a DBMS The functions performed by a typical DBMS are the following: Data Definition The DBMS provides
CT75 DATA WAREHOUSING AND DATA MINING DEC 2015
Q.1 a. Briefly explain data granularity with the help of example Data Granularity: The single most important aspect and issue of the design of the data warehouse is the issue of granularity. It refers
1. All of the following are examples of real security and privacy risks EXCEPT: A. hackers. B. spam. C. viruses. D. identity theft. 2.
COMPUTER-BASED-OBJECTIVE-QUESTIONS www.mission2win.in 1. All of the following are examples of real security and privacy risks EXCEPT: A. hackers. B. spam. C. viruses. D. identity theft. 2. A process known
Summary of Last Chapter. Course Content. Chapter 2 Objectives. Data Warehouse and OLAP Outline. Incentive for a Data Warehouse
Principles of Knowledge Discovery in bases Fall 1999 Chapter 2: Warehousing and Dr. Osmar R. Zaïane University of Alberta Dr. Osmar R. Zaïane, 1999 Principles of Knowledge Discovery in bases University
Data Warehouse and Data Mining
Data Warehouse and Data Mining Lecture No. 02 Introduction to Data Warehouse Naeem Ahmed Email: naeemmahoto@gmail.com Department of Software Engineering Mehran Univeristy of Engineering and Technology
Fundamentals of Information Systems, Seventh Edition
Chapter 3 Data Centers, and Business Intelligence 1 Why Learn About Database Systems, Data Centers, and Business Intelligence? Database: A database is an organized collection of data. Databases also help
Oracle #1 RDBMS Vendor
Oracle #1 RDBMS Vendor IBM 20.7% Microsoft 18.1% Other 12.6% Oracle 48.6% Source: Gartner DataQuest July 2008, based on Total Software Revenue Oracle 2 Continuous Innovation Oracle 11g Exadata Storage