Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Data Management Gerhard Steinke Data Concepts, Requirements Database Management Types of Databases Data Warehouse, Data Mining 4 What do we Need from Data/Information? • Accuracy • Reliability • Consistency • Security • Availability • Single source • Reduced data redundancy • Web accessible 2 Database Management Approach • Single User databases • Microsoft Access • Client/Server, Multi-user • Oracle • Microsoft SQL Server • IBM DB2 • Open-source MySQL 3 Fundamental Data Components Character Field • Represents an attribute (a characteristic or quality) of some entity (object, person, place or event) Record • Key field Table Database Database Management System – DBMS • Interface between user and data 4 Designing a Database Student and Course Information What fields? Registration Reports Class roster Student transcript Forms Menu – Options - Switchboard 5 Access Example Tables • define field characteristics, primary key Relationships • • showing connections between tables Check for referential Integrity …an entry must exist in a different table? Forms • used to enter data Reports • used to present data Query • Selection of the data (sequence may be important) 6 Queries –SQL Language, Graphical 7 Data Warehouse Stores data that has been extracted from operational, external and other databases Data has been cleaned, transformed and cataloged Used by managers and professionals for • Data mining, • Online analytical processing, • Business analysis, • Market research, • Decision support Data mart is subset of warehouse for specific use of department 8 Data Mining Data in data warehouse is analyzed to reveal hidden patterns and trends Examples: • Perform market-basket analysis to identify new • • • business opportunities / processes Find root causes to quality problems Cross sell to existing customers Profile customers with more accuracy 9 Data Resource Management Data Administrator - Managerial activity Database Administrator (DBA) – more technical, database setup Data Issues: • • • • • • • • • Value of data Challenge of managing data Data collecting Data storage Data privacy Data security Data mining Data owner Web-based access 10 Current DB News http://www.indeed.com/q-Databasejobs.html http://db-engines.com/en/ranking https://www.mysql.com/ http://www.teradata.com/TDVideo/?LangType=1033&LangSelect=true 11 Ethical Issues… What kind of data can/should you collect? How much protection/security is necessary? How long can/may you keep information? What do you do with invalid data? 12