Technology In Action Chapter 11 Databases and… • • • • • • • • Databases and their uses Database components Types of databases Database management systems Relational databases Data warehouses and data marts Information systems Data mining NEXT SLIDE 1 Technology In Action Chapter 11 Databases • Electronic collections of related data • Help us organize data • Turn data into information NEXT SLIDE 2 Technology In Action Chapter 11 Advantages of Using Databases • Store and retrieve large quantities of Recording grades information Financial Aid • Data centralization • Data integrity Student Registration • Flexibility Student Information Student housing Database Parents NEXT SLIDE 3 Technology In Action Chapter 11 Database Terminology • Field: – Category of information displayed in columns Field Name • Data types: – Text – Numeric – Date – Memo – Object One Field NEXT SLIDE 4 Technology In Action Chapter 11 Database Terminology • Record: – A group of related fields • Table: – A group of related records Record Table Primary Key • Primary key: – A field value unique to a record NEXT SLIDE 5 Technology In Action Chapter 11 Database Types • Relational databases: – Organize data in a table – Link tables to each other through their primary keys • Object-oriented databases: – Stores data in objects – Handles unstructured data • Object-relational databases: – A hybrid of a relational and object-oriented database NEXT SLIDE 6 Technology In Action Chapter 11 Database Management Systems (DBMS) • Application software designed to acquire and analyze data • Four main operations of a DBMS are: – Creating databases and entering data – Viewing and sorting data – Extracting data – Outputting data NEXT SLIDE 7 Technology In Action Chapter 11 Relational Database Operations • Relational databases organize data into tables based on logical groupings • Relationships are links between tables with related data • Common fields between tables need to exist • Normalization of data (recording data once) reduces data redundancy NEXT SLIDE 12 Technology In Action Chapter 11 Data Storage • Data warehouses: – A large scale repository of data – Organizes all the data related to an organization – Data is organized by subject NEXT SLIDE 13 Technology In Action Chapter 11 Populating Data Warehouses Source data • Internal • External • Customers Data marts • Small slices of data • Data of a single department Data staging • Extract data from source • Reformat the data • Store the data Data warehouse illustration NEXT SLIDE 14 Technology In Action Chapter 11 Managing Data: Information Systems • Information systems: – Software-based solutions used to gather and analyze information • Functions performed by information systems include: – Acquiring data – Processing data into information – Storing data – Providing output options NEXT SLIDE 16 Technology In Action Chapter 11 Information Systems Categories • • • • Office support Transaction processing Management Decision support NEXT SLIDE 17 Technology In Action Chapter 11 Data Mining • Process by which data are analyzed and investigated • Objective is to spot patterns or trends within the data NEXT SLIDE 22 Technology In Action Chapter 11 Data Mining Methods • Classification: – Define data classes • Estimation: – Assign a value to data • Affinity grouping or association rules: – Determine which data goes together • Clustering: – Organize data into subgroups • Description and visualization: 23 – Provides a clear picture of what is happening NEXT SLIDE