Chapter 11 Databases. Computer Concepts 2013
|
|
|
- Imogene Phelps
- 5 years ago
- Views:
Transcription
1 Chapter 11 Databases Computer Concepts 2013
2 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 Chapter 11: Databases 2
3 11 FastPoll True/False Questions Answer A for True and B for False Predictive data entry produces data warehouses and OLAPs The simplest model for storing data is a flat file A fixed-length field contains field names and record types An ERD shows relationships and cardinality The most popular business database model is based on a relational database. Chapter 11: Databases 3
4 11 FastPoll True/False Questions Answer A for True and B for False Spreadsheet software is optimized for working with relational data Database software such as Microsoft Access provides an option to produce HTML formatted reports XML is a database model that combines flat files and relational database models BLOB and SQL are data types. Chapter 11: Databases 4
5 11 FastPoll True/False Questions Answer A for True and B for False The goal of normalization is to reduce data redundancy Sorting a database is the same as indexing it Databases transmitted over the Web can be encrypted using HTML A database audit can sometimes identify unauthorized intrusion attempts. Chapter 11: Databases 5
6 11 Section A: File and Database Concepts Database Basics Database Models Chapter 11: Databases 6
7 11 Question The plots for several recent movies revolve around the government s use of what technology to identify terrorists based on spending habits and other data stored in commercial and government databases? A. Predictive analytics B. Executive dashboards C. ERDs D. Data cubes Chapter 11: Databases 7
8 11 Database Basics A database is a collection of information Typically stored as computer files The tasks associated with creating, maintaining, and accessing the information in databases are referred to as data management, file management, or database management Chapter 11: Databases 8
9 11 Database Basics Databases can be used in a variety of ways Collect and store data Update data Organize and output data Distribute data Find data Analyze data Chapter 11: Databases 9
10 11 Database Basics Data mining refers to the process of analyzing existing database information to discover previously unknown and potentially useful information, including relationships and patterns Data warehouse Predictive analytics Chapter 11: Databases 10
11 11 Database Basics OLAP (online analytical processing) allows decision makers to look for relationships between multiple data dimensions Executive dashboard software Chapter 11: Databases 11
12 11 Database Models An unstructured file has a unique structure and contains different kinds of data A structured file uses a uniform format to store data The underlying structure of a database is referred to as a database model Chapter 11: Databases 12
13 11 Database Models The simplest model for storing data is a flat file that consists of a single, two-dimensional table of data elements Chapter 11: Databases 13
14 11 Database Models A field contains the smallest unit of meaningful information Each field has a unique field name Variable-length field vs. fixed-length field Chapter 11: Databases 14
15 11 Database Models A record is a collection of data fields The template for a record is referred to as a record type A record that contains data is referred to as a record occurrence Chapter 11: Databases 15
16 11 Database Models A relationship is an association between data that is stored in different record types Cardinality One-to-many relationship Many-to-many relationship One-to-one relationship Chapter 11: Databases 16
17 11 Database Models Cardinality refers to the number of associations that can exist between two record types The relationship between record types can be depicted graphically with an entity-relationship diagram Chapter 11: Databases 17
18 11 Database Models A hierarchical database allows one-to-one and oneto-many relationships, linked in a hierarchical structure Chapter 11: Databases 18
19 11 Database Models A network database uses a mesh-like structure to offer the additional capacity to define many-to-many relationships Chapter 11: Databases 19
20 11 Database Models A relational database stores data in a collection of related tables Chapter 11: Databases 20
21 11 Database Models A dimensional database organizes relationships over three or more dimensions Chapter 11: Databases 21
22 11 Database Models An object database stores data as objects, which can be grouped into classes and defined by attributes and methods Chapter 11: Databases 22
23 11 Database Models An object-relational database is used to describe a variety of technologies that combine object-oriented and relational concepts Chapter 11: Databases 23
24 11 Section B: Data Management Tools Data Management Software Database Management Systems Databases and the Web XML Chapter 11: Databases 24
25 11 Question Most people have purchased merchandise from Amazon.com and similar online stores. What technology do these sites use to describe merchandise and handle customer shopping carts? A. Static Web publishing B. Spreadsheet data management C. Server-side programming D. E-commerce client software Chapter 11: Databases 25
26 11 Data Management Software Chapter 11: Databases 26
27 11 Data Management Software Chapter 11: Databases 27
28 11 Data Management Software It is possible to enter data as ASCII text file Custom data management software Data dependence vs. data independence Chapter 11: Databases 28
29 11 Database Management Systems Software designed to manage data stored in a database XML DBMS OODBMS RDBMS Chapter 11: Databases 29
30 11 Database Management Systems Chapter 11: Databases 30
31 11 Database Management Systems Database client software allows any remote computer or network workstation to access data in a database Chapter 11: Databases 31
32 11 Database Management Systems Multiple users can interact with the same database Chapter 11: Databases 32
33 11 Databases and the Web The Web allows access to many databases Static Web publishing Dynamic Web publishing Server-side program Chapter 11: Databases 33
34 11 Databases and the Web Chapter 11: Databases 34
35 11 Databases and the Web Chapter 11: Databases 35
36 11 Databases and the Web HTML forms can collect data, as well as specifications for a query Chapter 11: Databases 36
37 11 Databases and the Web The process of sending data to a database requires several data handoffs Server-side script Chapter 11: Databases 37
38 11 XML Markup language that allows field tags, data, and tables to be incorporated into a Web document Chapter 11: Databases 38
39 11 XML Language used to specify a standard structure of fields and records Data in an XML document is searchable XML is portable, but not optimized for many common database operations Consider storing data in a relational database, managing it with RDBMS software, and generating XML documents for exchanging data over the Web Chapter 11: Databases 39
40 11 Section C: Database Design Defining Fields Normalization Organizing Records Designing the Interface Designing Report Templates Loading Data Chapter 11: Databases 40
41 11 Question Most commercial databases store data in a series of tables, rather than in a single flat file. Why? A. To reduce data redundancy B. To maintain unique sort keys C. To enable field validation rules D. To avoid case sensitivity Chapter 11: Databases 41
42 11 Defining Fields The term database structure refers to the arrangement of fields, tables, and relationships in a database Break data into fields just by using common sense and considering how people might want to access the data Use a primary key field to make each record unique Use appropriate data types for each field Chapter 11: Databases 42
43 11 Defining Fields Chapter 11: Databases 43
44 11 Defining Fields A computed field is a calculation that a DBMS performs during processing and temporarily stores in a memory location Uppercase and lowercase are not always treated the same Case sensitive database Use field formats to show what the data is supposed to look like when it s entered Use field validation rules to filter data Chapter 11: Databases 44
45 11 Normalization Process that helps save storage space and increase processing efficiency Minimizes data redundancy Chapter 11: Databases 45
46 11 Organizing Records Records can be organized in different ways, depending on use Sorting A table s sort order refers to the order in which records are stored on disk Sort key Database index Similar to the index in a book Chapter 11: Databases 46
47 11 Organizing Records Chapter 11: Databases 47
48 11 Designing the Interface Arrange fields in a logical order Provide visual clues to the entry areas Entry areas should appear in a consistent position relative to their labels Provide a quick way to move through the fields in order Chapter 11: Databases 48
49 11 Designing the Interface Use scrolling or create multiple screens, if necessary Provide buttons or other easy-to-use controls for moving from one record to another Supply on-screen instructions Chapter 11: Databases 49
50 11 Designing the Interface Chapter 11: Databases 50
51 11 Designing Report Templates Report generators are used to specify the content and format for a database report A report template contains the outline or general specifications for a report Chapter 11: Databases 51
52 11 Designing Report Templates Supply only the information required Present information in a usable format Information should be timely Information should be presented in a clear, unambiguous format Present information in the most appropriate format for the audience Chapter 11: Databases 52
53 11 Loading Data Data can be loaded into a database by: Using generic data entry tools Using a customized data entry module A conversion routine converts the data from its current format into a format that can be automatically incorporated into the new database Chapter 11: Databases 53
54 11 Section D: SQL SQL Basics Adding Records Searching for Information Updating Fields Joining Tables Chapter 11: Databases 54
55 11 Question How does SQL relate to a typical computer user? A. Because search engines like Google are databases, you can use SQL to make advanced searches. B. You can use SQL to get beyond the main menu option on e-commerce sites like the itunes store. C. You can use SQL to find music at free file sharing sites. D. Knowing how a query language works can help you understand how databases work behind the scenes. Chapter 11: Databases 55
56 11 SQL Basics Intermediary between the database client software and the database itself Chapter 11: Databases 56
57 11 SQL Basics Chapter 11: Databases 57
58 11 Adding Records Chapter 11: Databases 58
59 11 Searching for Information SELECT Album, AlbumCover FROM Albums WHERE Artist = Jefferson Airplane The AND, OR, and NOT Boolean operators are used to perform complex queries The use of parentheses indicates the part of the query to perform first Chapter 11: Databases 59
60 11 Updating Fields UPDATE Albums SET InStock = InStock 1 WHERE Album = G.I. Blues Global updates change the data in more than one record at a time Works only for records with similar characteristics Chapter 11: Databases 60
61 11 Joining Tables Joining tables in SQL allows you to create relationships between tables Chapter 11: Databases 61
62 11 Joining Tables Chapter 11: Databases 62
63 11 Section E: Database Security Database Vulnerabilities Database Security Measures Database Security Regulations What Individuals Can Do Chapter 11: Databases 63
64 11 Question If you are a hacker trying to get your hands on a database with lots of social security numbers, what is the easiest way to do it? A. Hack into the database of an ATM. B. Steal a government computer, preferably a notebook that's been left unattended. C. Tap into HIPAA. D. Hack into a local business that has an unsecured wireless connection. Chapter 11: Databases 64
65 11 Database Vulnerabilities Databases are vulnerable to theft, hacking, and unauthorized access Databases can be stolen without going missing There is hardly a person in America who is not in at least one computer database Privacy is viewed as an inherent right Importance of data accuracy Data should be kept secure Chapter 11: Databases 65
66 11 Database Security Measures Today s computers are under assault from hackers and natural disasters Security measures include encryption, access controls, data security policies, and intrusion monitoring Encryption can make data in a database unintelligible to a hacker The process of decrypting database information in response to a query typically increases the amount of time necessary to process each query Chapter 11: Databases 66
67 11 Database Security Measures An access control limits access to systems, such as computer databases Control who accesses the database Control how users interact with the database User privileges Data view Chapter 11: Databases 67
68 11 Database Security Measures To minimize vulnerabilities caused by employee inattention, organizations can formulate database use policies A database audit is a procedure that monitors and records user activity within a database Chapter 11: Databases 68
69 11 Database Security Regulations International e-commerce makes database security a global concern; many countries have enacted laws to protect personal data stored on databases European Union s Privacy Directive Canada s Personal Information Protection and Electronics Document Act USA PATRIOT Act Video Privacy Protection Act Health Insurance Portability and Accountability Act 1996 Gramm-Leach-Bliley Act 1999 Chapter 11: Databases 69
70 11 What Individuals Can Do The key to minimizing your risk is to be vigilant about the information you divulge Beware of activities designed to collect info about you Only supply required information Look for the opt-out button Consider using a portable password manager Be wary of offers for free services Use antivirus software Never send personal information in response to an Check out privacy policies Chapter 11: Databases 70
71 11 What Individuals Can Do Chapter 11: Databases 71
72 11 What Do You Think? Should your government continue to develop and deploy data mining techniques designed to identify terrorists? A. Yes B. No C. Not sure Are you concerned about your personal data being included in government data mining operations? A. Yes B. No C. Not sure Do you think that governments should apologize to and compensate individuals who are inappropriately harmed by data mining operations? A. Yes B. No C. Not sure Chapter 11: Databases 72
73 Chapter 11 Complete Computer Concepts 2013
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
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?
Computers Are Your Future
Computers Are Your Future Twelfth Edition Chapter 12: Databases and Information Systems Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 1 Databases and Information Systems Copyright
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
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 May 20, 2014 Announcements DB 2 Due Tuesday Next Week The Database Approach to Data Management Database: Collection of related files containing
Secure Messaging Mobile App Privacy Policy. Privacy Policy Highlights
Secure Messaging Mobile App Privacy Policy Privacy Policy Highlights For ease of review, Everbridge provides these Privacy Policy highlights, which cover certain aspects of our Privacy Policy. Please review
SQL Compliance Whitepaper HOW COMPLIANCE IMPACTS BACKUP STRATEGY
SQL Compliance Whitepaper HOW COMPLIANCE IMPACTS BACKUP STRATEGY THE INTERSECTION OF COMPLIANCE AND DIGITAL DATA Organizations of all sizes and shapes must comply with government and industry regulations.
Cloud Computing Standard 1.1 INTRODUCTION 2.1 PURPOSE. Effective Date: July 28, 2015
Cloud Computing Standard Effective Date: July 28, 2015 1.1 INTRODUCTION Cloud computing services are application and infrastructure resources that users access via the Internet. These services, contractually
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
Building a Case for Mainframe Security
Building a Case for Mainframe Security Dr. Paul Rohmeyer, Ph.D. Stevens Institute of Technology Hoboken, New Jersey June 13-15, 2010 1 AGENDA - Problem Statement - Defining Security - Understanding Mainframe
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.
HIPAA Technical Safeguards and (a)(7)(ii) Administrative Safeguards
HIPAA Compliance HIPAA and 164.308(a)(7)(ii) Administrative Safeguards FileGenius is compliant with all of the below. First, our data center locations (DataPipe) are fully HIPAA compliant, in the context
Security Audit What Why
What A systematic, measurable technical assessment of how the organization's security policy is employed at a specific site Physical configuration, environment, software, information handling processes,
HIPAA Compliance Checklist
HIPAA Compliance Checklist Hospitals, clinics, and any other health care providers that manage private health information today must adhere to strict policies for ensuring that data is secure at all times.
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
Lecture 8. Database Management and Queries
Lecture 8 Database Management and Queries Lecture 8: Outline I. Database Components II. Database Structures A. Conceptual, Logical, and Physical Components III. Non-Relational Databases A. Flat File B.
Chapter 12. Information Security Management
Chapter 12 Information Security Management We Have to Design It for Privacy... and Security. Tension between Maggie and Ajit regarding terminology to use with Dr. Flores. Overly technical communication
Database Management System Fall Introduction to Information and Communication Technologies CSD 102
Database Management System Fall 2016 Introduction to Information and Communication Technologies CSD 102 Outline What a database is, the individuals who use them, and how databases evolved Important database
Technology Security Failures Common security parameters neglected. Presented by: Tod Ferran
Technology Security Failures Common security parameters neglected Presented by: Tod Ferran October 31 st, 2015 1 HALOCK Overview Founded in 1996 100% focus on information security Privately owned Owned
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
HIPAA Security. 3 Security Standards: Physical Safeguards. Security Topics
HIPAA Security SERIES Security Topics 1. Security 101 for Covered Entities 2. Security Standards - Administrative Safeguards 3. Security Standards - Physical Safeguards 4. Security Standards - Technical
Data and Knowledge Management Dr. Rick Jerz
Data and Knowledge Management Dr. Rick Jerz 1 Goals Define big data and discuss its basic characteristics Understand ways to store information Understand the value of a Database Management System Explain
Privacy Challenges in Big Data and Industry 4.0
Privacy Challenges in Big Data and Industry 4.0 Jiannong Cao Internet & Mobile Computing Lab Department of Computing Hong Kong Polytechnic University Email: csjcao@comp.polyu.edu.hk http://www.comp.polyu.edu.hk/~csjcao/
Hippocratic Databases and Fine Grained Access Control
Hippocratic Databases and Fine Grained Access Control Li Xiong CS573 Data Privacy and Security Review Anonymity - an individual (or an element) not identifiable within a well-defined set Confidentiality
Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services
Course 6234A: Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services Course Details Course Outline Module 1: Introduction to Microsoft SQL Server Analysis Services This module introduces
What to do if your business is the victim of a data or security breach?
What to do if your business is the victim of a data or security breach? Introduction The following information is intended to help you decide how to start preparing for and some of the steps you will want
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.
Security+ Guide to Network Security Fundamentals, Fourth Edition. Chapter 1 Introduction to Security
Security+ Guide to Network Security Fundamentals, Fourth Edition Chapter 1 Introduction to Security Objectives Describe the challenges of securing information Define information security and explain why
HIPAA Faux Pas. Lauren Gluck Physician s Computer Company User s Conference 2016
HIPAA Faux Pas Lauren Gluck Physician s Computer Company User s Conference 2016 Goals of this course Overview of HIPAA and Protected Health Information Define HIPAA s Minimum Necessary Rule Properly de-identifying
Event Stores (I) [Source: DB-Engines.com, accessed on August 28, 2016]
![Event Stores (I) [Source: DB-Engines.com, accessed on August 28, 2016]](/thumbs/83/87881853.jpg "Event Stores (I) [Source: DB-Engines.com, accessed on August 28, 2016]")
Event Stores (I) Event stores are database management systems implementing the concept of event sourcing. They keep all state changing events for an object together with a timestamp, thereby creating a
Policy and Procedure: SDM Guidance for HIPAA Business Associates
Policy and Procedure: SDM Guidance for HIPAA Business (Adapted from UPMC s Guidance for Business at http://www.upmc.com/aboutupmc/supplychainmanagement/documents/guidanceforbusinessassociates.pdf) Effective:
Data and Knowledge Management. Goals. Big Data. Dr. Rick Jerz
Data and Knowledge Management Dr. Rick Jerz 1 Goals Define big data and discuss its basic characteristics Understand ways to store information Understand the value of a Database Management System Explain
WHITE PAPER Cloud FastPath: A Highly Secure Data Transfer Solution
WHITE PAPER Cloud FastPath: A Highly Secure Data Transfer Solution Tervela helps companies move large volumes of sensitive data safely and securely over network distances great and small. We have been
CONSIDERATIONS BEFORE MOVING TO THE CLOUD
CONSIDERATIONS BEFORE MOVING TO THE CLOUD 44 Bearfoot Road, Suite 1A Northborough, MA 01532 ceservices.com 508-919-8280 info@ceservices.com Contents Introduction..3 Organizational Compliance Related to
System Analysis & design
Assiut University Faculty of Computers and Information System Analysis & design Year 2 Academic Year 2014/ 2015 Term (2) Copyright 2014 Dr. Hossam Ragab 8 A n important component of the design phase is
Data Management Glossary
Data Management Glossary A Access path: The route through a system by which data is found, accessed and retrieved Agile methodology: An approach to software development which takes incremental, iterative
Information Security in Corporation
Information Security in Corporation System Vulnerability and Abuse Software Vulnerability Commercial software contains flaws that create security vulnerabilities. Hidden bugs (program code defects) Zero
HIPAA Federal Security Rule H I P A A
H I P A A HIPAA Federal Security Rule nsurance ortability ccountability ct of 1996 HIPAA Introduction - What is HIPAA? HIPAA = The Health Insurance Portability and Accountability Act A Federal Law Created
Why you MUST protect your customer data
Why you MUST protect your customer data If you think you re exempt from compliance with customer data security and privacy laws because you re a small business, think again. Businesses of all sizes are
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
Chapter 6 Network and Internet Security and Privacy
Chapter 6 Network and Internet Security and Privacy Learning Objectives LO6.1: Explain network and Internet security concerns LO6.2: Identify online threats LO6.3: Describe cyberstalking and other personal
Welcome to the topic of SAP HANA modeling views.
Welcome to the topic of SAP HANA modeling views. 1 At the end of this topic, you will be able to describe the three types of SAP HANA modeling views and use the SAP HANA Studio to work with views in the
Deccansoft Software Services. SSIS Syllabus
Overview: SQL Server Integration Services (SSIS) is a component of Microsoft SQL Server database software which can be used to perform a broad range of data migration, data integration and Data Consolidation
Chapter 1 Introduction to HTML, XHTML, and CSS
Chapter 1 Introduction to HTML, XHTML, and CSS MULTIPLE CHOICE 1. The world s largest network is. a. the Internet c. Newsnet b. the World Wide Web d. both A and B A PTS: 1 REF: HTML 2 2. ISPs utilize data
Are You Avoiding These Top 10 File Transfer Risks?
Are You Avoiding These Top 10 File Transfer Risks? 1. 2. 3. 4. Today s Agenda Introduction 10 Common File Transfer Risks Brief GoAnywhere MFT Overview Question & Answer HelpSystems Corporate Overview.
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
Privacy: Whose Information Is It?
Chapter 13: Shhh, It's a Secret: Privacy and Digital Security Fluency with Information Technology Third Edition by Lawrence Snyder Privacy: Whose Information Is It? What is privacy? Examine a transaction
Chapter 10: Security and Ethical Challenges of E-Business
Chapter 10: Security and Ethical Challenges of E-Business Learning Objectives Identify several ethical issues in IT that affect employment, individuality, working condition, privacy, crime health etc.
Oracle Database Vault
An Oracle White Paper July 2009 Oracle Database Vault Introduction... 3 Oracle Database Vault... 3 Oracle Database Vault and Regulations... 4 Oracle Database Vault Realms... 5 Oracle Database Vault Command
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
The Cyber War on Small Business
The Cyber War on Small Business Dillon Behr Executive Lines Broker Risk Placement Services, Inc. Meet Our Speaker Dillon Behr Executive Lines Broker Risk Placement Services, Inc. Previously worked as Cyber
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
Chapter 5 Local Area Networks. Computer Concepts 2013
Chapter 5 Local Area Networks Computer Concepts 2013 5 Chapter Contents Section A: Network Building Blocks Section B: Wired and Wireless Technologies Section C: Network Setup Section D: Sharing Files Section
Acknowledgments Introduction to Database Systems p. 1 Objectives p. 1 Functions of a Database p. 1 Database Management System p.
Preface p. xvii Acknowledgments p. xxv Introduction to Database Systems p. 1 Objectives p. 1 Functions of a Database p. 1 Database Management System p. 2 Database Components p. 8 Database Development Process
Managing IT Risk: What Now and What to Look For. Presented By Tina Bode IT Assurance Services
Managing IT Risk: What Now and What to Look For Presented By Tina Bode IT Assurance Services Agenda 1 2 WHAT TOP TEN IT SECURITY RISKS YOU CAN DO 3 QUESTIONS 2 IT S ALL CONNECTED Introduction All of our
CipherCloud CASB+ Connector for ServiceNow
ServiceNow CASB+ Connector CipherCloud CASB+ Connector for ServiceNow The CipherCloud CASB+ Connector for ServiceNow enables the full suite of CipherCloud CASB+ capabilities, in addition to field-level
A Mathematical Model For Treatment Selection Literature
A Mathematical Model For Treatment Selection Literature G. Duncan and W. W. Koczkodaj Abstract Business Intelligence tools and techniques, when applied to a data store of bibliographical references, can
Altius IT Policy Collection
Altius IT Policy Collection Complete set of cyber and network security policies Over 100 Policies, Plans, and Forms Fully customizable - fully customizable IT security policies in Microsoft Word No software
HIPAA Security and Privacy Policies & Procedures
Component of HIPAA Security Policy and Procedures Templates (Updated for HITECH) Total Cost: $495 Our HIPAA Security policy and procedures template suite have 71 policies and will save you at least 400
Database Auditing and Forensics for Privacy Compliance: Challenges and Approaches. Bob Bradley Tizor Systems, Inc. December 2004
Database Auditing and Forensics for Privacy Compliance: Challenges and Approaches Bob Bradley Tizor Systems, Inc. December 2004 1 Problem Statement You re a DBA for an information asset domain consisting
Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services
Implementing and Maintaining Microsoft SQL Server 2005 Analysis Services Introduction Elements of this syllabus are subject to change. This three-day instructor-led course teaches students how to implement
Data Management Lecture Outline 2 Part 2. Instructor: Trevor Nadeau
Data Management Lecture Outline 2 Part 2 Instructor: Trevor Nadeau Data Entities, Attributes, and Items Entity: Things we store information about. (i.e. persons, places, objects, events, etc.) Have relationships
Operational Network Security
Tim Boerner April 25, 2013 CS598 Network Security Operational Network Security or how I learned that the purpose of network security has little to do with actually securing the network Introduction Thinking
Security Breaches: How to Prepare and Respond
Security Breaches: How to Prepare and Respond BIOS SARAH A. SARGENT Sarah is a CIPP/US- and CIPP/E-certified attorney at Godfrey & Kahn S.C. in Milwaukee, Wisconsin. She specializes in cybersecurity and
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
HIPAA SECURITY RISK ASSESSMENT
HIPAA SECURITY RISK ASSESSMENT AT 30,000 FEET JOHN HARMON COO - FRSECURE AGENDA Introduction / FRSecure Overview Information Security Defined Risk Assessments Technical Assessments People Assessments Suggested
Security+ Guide to Network Security Fundamentals, Third Edition. Chapter 1 Introduction to Security
Security+ Guide to Network Security Fundamentals, Third Edition Chapter 1 Introduction to Security Objectives Describe the challenges of securing information Define information security and explain why
HIPAA in 2017: Hot Topics You Can t Ignore. Danika Brinda, PhD, RHIA, CHPS, HCISPP March 16, 2017
HIPAA in 2017: Hot Topics You Can t Ignore Danika Brinda, PhD, RHIA, CHPS, HCISPP March 16, 2017 Breach Notification State Law Privacy Rule Authorizations Polices and Procedures The Truth Is Have created
Tokenisation: Reducing Data Security Risk
Tokenisation: Reducing Data Security Risk OWASP Meeting September 3, 2009 Agenda Business Drivers for Data Protection Approaches to Data Security Tokenisation to reduce audit scope and lower risk Examples
Overview: Compliance and Security Management PCI-DSS Control Compliance Suite Overview
PCI DSS stands for Payment Card Industry Data Security Standard. It was developed by the major credit card companies as a guideline to help organizations that process card payments prevent credit card
Compliance of Panda Products with General Data Protection Regulation (GDPR) Panda Security
Panda Security Compliance of Panda Products with General Data Protection Regulation (GDPR) 1 Contents 1.1. SCOPE OF THIS DOCUMENT... 3 1.2. GENERAL DATA PROTECTION REGULATION: OBJECTIVES... 3 1.3. STORED
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
Overview of Web Mining Techniques and its Application towards Web
Overview of Web Mining Techniques and its Application towards Web *Prof.Pooja Mehta Abstract The World Wide Web (WWW) acts as an interactive and popular way to transfer information. Due to the enormous
How Secure Do You Feel About Your HIPAA Compliance Plan? Daniel F. Shay, Esq.
How Secure Do You Feel About Your HIPAA Compliance Plan? Daniel F. Shay, Esq. Word Count: 2,268 Physician practices have lived with the reality of HIPAA for over twenty years. In that time, it has likely
Online Privacy & Security for the Mortgage Industry
1 Online Privacy & Security for the Mortgage Industry Ronald M. Jacobs (202) 216-8215 rmjacobs@venable venable.com 2 Online Privacy & Security Overview Gramm-Leach-Bliley Act (GLB) Privacy Regulations:
Author: Tonny Rabjerg Version: Company Presentation WSF 4.0 WSF 4.0
Author: Tonny Rabjerg Version: 20150730 Company Presentation WSF 4.0 WSF 4.0 Cybercrime is a growth industry. The returns are great, and the risks are low. We estimate that the likely annual cost to the
Information Technology Standards
Information Technology Standards IT Standard Issued: 9/16/2009 Supersedes: New Standard Mobile Device Security Responsible Executive: HSC CIO Responsible Office: HSC IT Contact: For questions about this
Chapter 9 Section 3. Digital Imaging (Scanned) And Electronic (Born-Digital) Records Process And Formats
Records Management (RM) Chapter 9 Section 3 Digital Imaging (Scanned) And Electronic (Born-Digital) Records Process And Formats Revision: 1.0 GENERAL 1.1 The success of a digitized document conversion
Housecall Privacy Statement Statement Date: 01/01/2007. Most recent update 09/18/2009
Housecall Privacy Statement Statement Date: 01/01/2007. Most recent update 09/18/2009 Privacy Policy Intent: We recognize that privacy is an important issue, so we design and operate our services with
Analytics, Insights, Cookies, and the Disappearing Privacy
Analytics, Insights, Cookies, and the Disappearing Privacy What Are We Talking About Today? 1. Logfiles 2. Analytics 3. Google Analytics 4. Insights 5. Cookies 6. Privacy 7. Security slide 2 Logfiles Every
Cybersecurity Conference Presentation North Bay Business Journal. September 27, 2016
Cybersecurity Conference Presentation North Bay Business Journal September 27, 2016 1 PRESENTER Francis Tam, CPA, CISM, CISA, CITP, CRISC, PCI QSA Partner Information Security and Infrastructure Practice
UNIVERSITY OF WISCONSIN MADISON POLICY AND PROCEDURE
Page 1 of 11 I. PURPOSE AND BACKGROUND UW-Madison is committed to compliance with the Health Insurance Portability and Accountability Act (HIPAA). This policy establishes requirements for technical security
EXAMGOOD QUESTION & ANSWER. Accurate study guides High passing rate! Exam Good provides update free of charge in one year!
EXAMGOOD QUESTION & ANSWER Exam Good provides update free of charge in one year! Accurate study guides High passing rate! http://www.examgood.com Exam : 70-298 Title : Designing Security for a MS Windows
Checklist: Credit Union Information Security and Privacy Policies
Checklist: Credit Union Information Security and Privacy Policies Acceptable Use Access Control and Password Management Background Check Backup and Recovery Bank Secrecy Act/Anti-Money Laundering/OFAC
Chapter Review. 42 Chapter 1 Introduction to Computers
42 Chapter 1 Introduction to Computers Chapter Review 1. Why Is Computer Literacy Vital in Today s World? Computer literacy, or digital literacy, involves having current knowledge and understanding of
Data Security and Privacy : Compliance to Stewardship. Jignesh Patel Solution Consultant,Oracle
Data Security and Privacy : Compliance to Stewardship Jignesh Patel Solution Consultant,Oracle Agenda Connected Government Security Threats and Risks Defense In Depth Approach Summary Connected Government
Data Security: Public Contracts and the Cloud
Data Security: Public Contracts and the Cloud July 27, 2012 ABA Public Contract Law Section, State and Local Division Ieuan Mahony Holland & Knight ieuan.mahony@hklaw.com Roadmap Why is security a concern?
DBM/500 COURSE NOTES
WK 1 APPROACHES DBM/500 COURSE NOTES MICROSOFT RELATIONAL ACCESS SYSTEM WK 2 DESIGN TOOLS FOR ANALYSIS ENTITY RELATIONSHIP ERD EXAMPLE WK 3 UNIFIED MODELING LANGUAGE USE CASES APPLICATIONS TOOLS WK 4 NORMALIZATION
COURSE 20466D: IMPLEMENTING DATA MODELS AND REPORTS WITH MICROSOFT SQL SERVER
ABOUT THIS COURSE The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports
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
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
Copyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri and Shamkant B. Navathe CHAPTER 1 Databases and Database Users Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Slide 1-2 OUTLINE Types of Databases and Database Applications
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:
6 SSIS Expressions SSIS Parameters Usage Control Flow Breakpoints Data Flow Data Viewers
MSBI Training Program [SSIS SSAS SSRS] Duration : 60 Hrs SSIS 1 Introduction to SSIS SSIS Components Architecture & Installation SSIS Tools and DTS 2 SSIS Architecture Control Flow Tasks Data Flow Tasks
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
Almost all new data created today is digital Problem: How to organize the data and store it? Capacity Speed Life of the data Number of users
Databases Almost all new data created today is digital Problem: How to organize the data and store it? Capacity Speed Life of the data Number of users 2 Batch Processing Transactions are collected over
Records Management and Retention
Records Management and Retention Category: Governance Number: Audience: University employees and Board members Last Revised: January 29, 2017 Owner: Secretary to the Board Approved by: Board of Governors
MIS 300 Exam 2 Spring 2011
MIS 300 Exam 2 Spring 2011 Name: Instructions Turn off your cell phone. Close your notes and book. Answer each question by selecting the best response. For True/False questions, select A for and B for.