TecnologiasDe Informacion I  Prof. Fdo. Edgar Diaz-Prado     Depto de Informatica  Universidad Regiomontana
Chapter 5 DATA BASES      &Data Warehouse  Prof. Fdo. Edgar Diaz-Prado     Depto de Informatica  Universidad Regiomontana
Chapter  5          Data Resource Management
Why Study Data Resource Management?• Today’s business enterprises cannot  survive or succeed without data and  quality dat...
Data Resource ManagementDefinition:• A managerial activity that applies  information systems technologies to the  task of ...
Foundation Data Concepts• Character – single alphabetic, numeric or other  symbol      T, %, Ñ, 4, +• Field – group of rel...
Foundation Data Concepts     • Entity – person, place, object or event     • Attribute – characteristic of an entity     •...
Foundation Data Concepts              Entidad                                                         Atributos           ...
Foundation Data Concepts                              – Relationship between Entities                                     ...
Foundation Data Concepts     • Database
Data Vs Information•   Data – a collection of facts made up of text,    numbers and dates:              Villareal      350...
Foundation Data ConceptsWhat is aDatabase?
An Example of a Table (or File)                         Fields or AttributesRecords             Name      E-mail-Link Phon...
Basic Database Concepts•   Table                          Name: Barry Harris    • A set of related             College: Me...
Foundation Data Concepts           • Record – collection of attributes that describe an entity           • File – group of...
Entities and Relationships
What is a Database Systems• Database:                     a very large, integrated  collection of data.• Models a real-wor...
What is a Database Systems         Relationships
?            Why Study Databases??Need for DB has exploded in the last years in many  fields, such as:   • Corporate: reta...
Labels of Abstraction           Architecture of Data Bases                                  Users• Views describe how  use...
Example: University Database• External Schema (View):   • Course_info(cid:string, cname:string,    cteacher: string)• Conc...
Data Independence• Applications insulated from  how data is structured and    View 1   View 2   View 3  stored.• Logical d...
Database Systems: Years ago.
Database Systems: Today                  From Friendster.com on-line tour
Databases in action
Types of DatabasesCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.   5 - 26
Types of Databases
Types of Databases • Operational – store detailed data needed to   support the business processes and operations   of a co...
Types of Databases  • Distributed – databases that are replicated    and-or distributed in whole or in part to network    ...
Types of Databases • External – contain a wealth of information   available from commercial online services   and from man...
Hypermedia Database
Data Warehouse Definition: • Large database that stores data that have   been extracted from the various   operational, ex...
Data MartDefinition:• Databases that hold subsets of data from  a data warehouse that focus on specific  aspects of a comp...
Data Warehouse & Data Marts                            Data Mart                            Marketing  Data               ...
Data Warehouse & Data Marts
Chapter    5Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.   5 - 36
Chapter    5Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.   5 - 37
Chapter                   5                                                     End of Chapter´s                          ...
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  • P1 capitulo 5

    1. 1. TecnologiasDe Informacion I Prof. Fdo. Edgar Diaz-Prado Depto de Informatica Universidad Regiomontana
    2. 2. Chapter 5 DATA BASES &Data Warehouse Prof. Fdo. Edgar Diaz-Prado Depto de Informatica Universidad Regiomontana
    3. 3. Chapter 5 Data Resource Management
    4. 4. Why Study Data Resource Management?• Today’s business enterprises cannot survive or succeed without data and quality data about their internal operations and external environment.• Data at companies, is the blood!
    5. 5. Data Resource ManagementDefinition:• A managerial activity that applies information systems technologies to the task of managing an organization’s data resources to meet the information´s needs of the business.
    6. 6. Foundation Data Concepts• Character – single alphabetic, numeric or other symbol T, %, Ñ, 4, +• Field – group of related characters Lolita, Student, 34,290.45, 70-04-12
    7. 7. Foundation Data Concepts • Entity – person, place, object or event • Attribute – characteristic of an entity • Relationship – the way two or more entities can be related or associatedCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5-7
    8. 8. Foundation Data Concepts Entidad Atributos • NumEmpleada – 242726 • Nombre – MaryJose Schoedra • Dirección – Sierra Barrada 20-C • Fecha-Nacimiento – 1990-05-29 • Puesto – Chef-A • Salario – 54,860.45Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5-8
    9. 9. Foundation Data Concepts – Relationship between Entities Is Employee of Employee CompanyCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5-9
    10. 10. Foundation Data Concepts • Database
    11. 11. Data Vs Information• Data – a collection of facts made up of text, numbers and dates: Villareal 35000 7/18/86• Information - the meaning given to data in the way it is interpreted: Mr. Villareal is a sales person whose annual salary is $35,000 and whose hire date is July 18, 1986.
    12. 12. Foundation Data ConceptsWhat is aDatabase?
    13. 13. An Example of a Table (or File) Fields or AttributesRecords Name E-mail-Link Phone College Graff rgraff 392-3900 Pharmacy Harris bharris 392-5555 Medicine Ipswich zipswich 846-5656 PHHP
    14. 14. Basic Database Concepts• Table Name: Barry Harris • A set of related College: Medicine records Tel: 392-5555x Record – A collection of data Name: Barry Harris College: Medicine about an individual item Tel: 392-5555x Field – A single item of data Name: Barry Harris common to all records
    15. 15. Foundation Data Concepts • Record – collection of attributes that describe an entity • File – group of related records • Database – integrated and related collection of files.Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 15
    16. 16. Entities and Relationships
    17. 17. What is a Database Systems• Database: a very large, integrated collection of data.• Models a real-world enterprise • Entities (e.g., Doctors, patientes) • Relationships (e.g., The Doctor is attending patients) •
    18. 18. What is a Database Systems Relationships
    19. 19. ? Why Study Databases??Need for DB has exploded in the last years in many fields, such as: • Corporate: retail sector, customer relationship mgmt, supply chain mgmt, data warehouses, enterprise management, human resources, finance and accounting, etc. • Scientific: digital libraries, Human Genome project, NASA Mission to Planet Earth, physical sensors, grid physics network
    20. 20. Labels of Abstraction Architecture of Data Bases Users• Views describe how users see the data.• Conceptual schema View 1 View 2 View 3 defines logical structure Conceptual Schema• Physical schema describes the files and Physical Schema indexes used. DB• (sometimes called the ANSI/SPARC model)
    21. 21. Example: University Database• External Schema (View): • Course_info(cid:string, cname:string, cteacher: string)• Conceptual schema: View 1 View 2 View 3 • Students(sid: string, name: string, login: string, age: integer, gpa:real) Conceptual Schema • Courses(cid: string, cname:string, credits:integer) Physical Schema • Teachers(tid:string, tname:string, tdepart:string)• Physical schema (in physical DB): DB • Relations stored as unordered files. • Index on first column of Students.
    22. 22. Data Independence• Applications insulated from how data is structured and View 1 View 2 View 3 stored.• Logical data independence: Protection from changes in Conceptual Schema logical structure of data. Physical Schema• Physical data independence: Protection from changes in physical structure of data. DB
    23. 23. Database Systems: Years ago.
    24. 24. Database Systems: Today From Friendster.com on-line tour
    25. 25. Databases in action
    26. 26. Types of DatabasesCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 26
    27. 27. Types of Databases
    28. 28. Types of Databases • Operational – store detailed data needed to support the business processes and operations of a companyCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 28
    29. 29. Types of Databases • Distributed – databases that are replicated and-or distributed in whole or in part to network servers at a variety of sitesCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 29
    30. 30. Types of Databases • External – contain a wealth of information available from commercial online services and from many sources on the World Wide Web • Hypermedia – consist of hyperlinked pages of multimediaCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 30
    31. 31. Hypermedia Database
    32. 32. Data Warehouse Definition: • Large database that stores data that have been extracted from the various operational, external, and other databases of an organizationCopyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 32
    33. 33. Data MartDefinition:• Databases that hold subsets of data from a data warehouse that focus on specific aspects of a company, such as a department or a business process
    34. 34. Data Warehouse & Data Marts Data Mart Marketing Data Data MartWarehouse Production Data Mart sales
    35. 35. Data Warehouse & Data Marts
    36. 36. Chapter 5Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 36
    37. 37. Chapter 5Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 37
    38. 38. Chapter 5 End of Chapter´s First Part.Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. 5 - 38

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