Download Data Resource Management

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Entity–attribute–value model wikipedia , lookup

Extensible Storage Engine wikipedia , lookup

Big data wikipedia , lookup

Database wikipedia , lookup

Relational model wikipedia , lookup

Clusterpoint wikipedia , lookup

Functional Database Model wikipedia , lookup

Object-relational impedance mismatch wikipedia , lookup

Database model wikipedia , lookup

Transcript
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