INTRODUCTORY INFORMATION TECHNOLOGY ENTERPRISE DATABASES AND DATA WAREHOUSES. Faramarz Hendessi
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1 INTRODUCTORY INFORMATION TECHNOLOGY ENTERPRISE DATABASES AND DATA WAREHOUSES Faramarz Hendessi
2 INTRODUCTORY INFORMATION TECHNOLOGY Lecture 7 Fall 2010 Isfahan University of technology Dr. Faramarz Hendessi
3 Objectives Identify the reasons organizations choose to share databases and the functions of a database management system. Explain the difference between relational and object-oriented databases and their uses in business. Describe the differences between schemas, views, and indexes. 3
4 Objectives (Continued) Discuss the benefits of client/server computing. Differentiate between shared and distributed databases. Explain why enterprises establish data warehouses and how they differ from data marts and enterprise databases. 4
5 Objectives (Continued) Distinguish between a database administrator and a system programmer. Discuss database administration procedures and concurrency procedures and explain why these are an essential part of a shared database system. 5
6 The Principles of Data Sharing Definition Database: A collection of data and information describing items of interest to an organization. Entity: A person, place, thing, event or condition about which data and information are collected. Enterprise Database: A collection of data designed to be shared by many users within an organization. 6
7 The Principles of Data Sharing Definition (Continued) 7
8 The Principles of Data Sharing Database Management Systems Database Management Systems (DBMS): A program that makes it possible for users to manage the data in a database in order to increase accessibility and productivity. The Functions of Database Management: Integrating Databases Reducing Redundancy Sharing Information Maintaining Integrity Enabling Database Evolution 8
9 The Principles of Data Sharing Database Management Systems (Continued) 9
10 Enterprise Database Structures Enterprise Data Model Enterprise Data Model/Entity Relationship: A graphical representation of the items (the entities) of interest about which data is captured and stored in the database. 10
11 Enterprise Database Structures Enterprise Data Model (Continued) 11
12 Enterprise Database Structures Schema Schema: The structure of a database. Schema for Relational Database Relational Database: A database in which the data are structured in a table format consisting of rows and columns. 12
13 Enterprise Database Structures Schema (Continued) 13
14 Enterprise Database Structures Schema (Continued) Schema for Object-Oriented Database Object-oriented Database: A database that stores data and information about objects. Object: A component that contains data about itself and how it is to be processed. Action/Method: An instruction that tells a database how to process an object to produce specific information. 14
15 Enterprise Database Structures Schema (Continued) 15
16 Enterprise Database Structures Views View: A subset of one or more databases, created either by extracting copies of records from a database or by merging copies of records from multiple databases. 16
17 Enterprise Database Structures Views (Continued) 17
18 Enterprise Database Structures Indexes Index: A data file that contains identifying information about each record and its location in storage. Record Key: In a database, a designated field used to distinguish one record from another. 18
19 Enterprise Database Structures Indexes (Continued) 19
20 Client/Server Computing Definition File Server: A computer containing files that are available to all users interconnected on a local area network. Client/Server Computing: A type of computing in which all data and information retrieval requests and responses pass over a network. Much of the processing is performed on the server and the results of the processing are transmitted to the client. 20
21 Client/Server Computing Definition (Continued) 21
22 Client/Server Computing Definition 22
23 Client/Server Computing Definition (Continued) Client: In client-server computing, a desktop workstation. Server: A computer that hosts a network and provides the resources that are shared on the network. 23
24 Client/Server Computing The Benefits of Client/Server Computing 24
25 Databases on the Internet Definition Web-based Integration: Makes data from enterprise databases available to users connecting through the Internet (including enterprise intranets and extranets). 25
26 Databases on the Internet Definition (Continued) 26
27 Distributed Databases Definition Shared Database: A database shared among many users and applications. Distributed Database: A database that resides in more than one system in a distributed network. Each component of the database can be retrieved from any node in the network. 27
28 Distributed Databases Partitioning and Replication Partitioning: A method of database distribution in which different portions of the database reside at different nodes in the network. Replication: A method of database distribution in which one database contains data that are included in another database. 28
29 Distributed Databases Distribution Strategies Geographic Distribution Strategy: A database distribution strategy in which the database is located in a region where the data and information are used most frequently. Functional Distribution Strategy: A database distribution strategy in which the database is distributed according to business functions. 29
30 Distributed Databases Designed a Distributed Database Database Directory: The component of a shared database that keeps track of data and information. Other Design Factors Storage Costs Processing Costs Communication Costs Retrieval and Processing Reliability Frequency of Updates and Queries 30
31 Distributed Databases Designed a Distributed Database (Continued) 31
32 Data Warehouses and OLAP Definition Online Analytical Processing (OLAP): Database processing that selectively extracts data from different points of view. Data Warehouse: A large data store, designed from inquiries, that combines details of both current and historical operations, usually drawn from a number of sources. 32
33 Data Warehouses and OLAP Comparison of Enterprise Databases and Data Warehouses 33
34 Data Warehouses and OLAP Data Warehouse 34
35 Data Warehouses and OLAP Definition Data Mining: Uses software designed to detect information hidden in the data. Data Marts: Processed to focus on a specific area of activities or isolated scientific or commercial processes. 35
36 People Definition Database Administrator (DBA): The IT professional responsible for managing all the activities and procedures related to an organization s database. Systems Programmer 36
37 Procedures Database Administration Procedures Database Administration Procedures: The procedures associated with managing a database. Database Planning Database Design Database Creation Database Maintenance Analysis of Usage Creation and Monitoring of Security Procedures 37
38 Procedures Concurrency Procedures Concurrent Data Sharing: A database procedure that allows several users to access the database simultaneously. Nonconcurrent Data Sharing: A database procedure that allows individuals to access a database only when no other person or application is processing the data. 38
39 Procedures Concurrency Procedures (Continued) Record Locking: A concurrency procedure that prohibits another user from accessing or altering a records that is in use. File Locking: Used in systems that store unstructured information and have file-level sharing. Deadlock: A situation in which each user of a database is waiting for the others to unlock a record. 39
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