• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/18

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

18 Cards in this Set

  • Front
  • Back

Define Data, Information and Database

Raw facts that describe the characteristics of an event



Data converted into a meaningful and useful context



Maintains information about various types of objects (inventory), events (transactions), people (employees), and places (warehouses)

Whats the difference between data and information?

Data shares exchange in the stock market



Information tells you about the stock,


a.k.a. How did it perform over time or compared to other stocks

Why is Data Management important?

Data is everywhere in an organization



Data have become central and even vital to organizations



Organizatiosn need to manage their data assets very carefully to make sure that the data are easily accessed by managers and employees across the organization

What are examples of transactional data and Analytical information?

Airline Ticket, Sales Receipt, Packing Slip



Product Statistics, Sales Projections, Future Growth, Trends

What are the combinations of Transactional Data and Analytical Information (from bottom to top)?

Transactional, Processes, Analytical



Fine, Granularity, Coarse



Organizational Levels: Analysts, Managers, Executives



Online Transaction Processing, Processing, Online Analytical Processing

What is Data Management and what are the components of the life cycle?

A structured approach for capturing, storing, processing, integrating, distributing, securing, and archiving data effectively throughout their life cycle.



Data Sources and Databases -> Data Storage -> Data Analysis -> Results -> Solutions

What are the Data Principles?

- Principle of diminishing data value



- Principle of 90/90 data use



- Principle of data in context

What is the goal of data management?

To provide the infrastructure and tools to transform raw data into usable information of the highest quality.

What are the Data Management Challenges?

- Volume of data is increasing exponentially


- Data is scattered throughout the organization


- Data is created and used offline without going through quality control checks


- Data may be redundant and out-of-date, creating a huge maintenance problem

Place in order of hierarchy (from bottom to top) and define the parts of File Organization

Bit: Smallest unit of data; binary digit


Byte: Group of bits that represents a single character


Field: Group of words or a complete number


Record: Group of related fields


Database: Group of records of same type

What is the problem with Traditional (stand-alone) File Organization?

Data redundancy: The presence of duplicate data in multiple data files so that the same data are stored in more than one place or location.


Data inconsistency: The same attribute may have different values.


Data Isolation, Lack of data sharing and availability: Information cannot flow freely across different functional areas or different parts of the organization.


Poor security: Management may have no knowledge of who is accessing or making changes to the organization's data

What is DBMS and what does it do?

Database Management System: A software package to create and maintain databases


- Acts as interface between application programs and physical data files


- Separates logical and physical views of data


- Permits organizations to centralize data, manage them efficiently, and give application programs access to the stored data

How does DBMS use many data sources?

- Clickstream data from Web and e-commerce applications


- Detailed data form POS terminals


- Filtered data from CRM, supply chain, and enterprise resource planning applications

Define and give examples of Entity, Entity class (table) and Attributes

Entity: A person, place, transaction, or event about which information is stored


Ex. The rows in each Table contain the entities



Entity class (table): Collection of similar entities


Ex. Customer, Order, Order line



Attributes (fields, columns): Characteristics or properties of an entity class


Ex. The columns in each table contain the attributes

What is Relational DBMS? Name some examples

- Represents data as two-dimensional tables


- Relates data across tables based on common data element


Ex. MS Access, DB2, Oracle, MS SQL Server

What are the types of keys in databases? What do they do?

Primary Key: A field (or group of fields) that uniquely identifies a given entity in a table



Foreign key: A primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables



They identify the various entity classes (tables) in the database

What are the three basic operations in a relational DBMS?

Select: Creates subset of rows that meet specific criteria



Join: Combines relational tables to provide users with information



Project: Enables users to create new tables containing only relevant information

What are the functions of a DBMS?

Data filtering and profiling: Inspecting the data for errors, inconsistencies, redundancies, and incomplete information.


Data quality: Correcting, standardizing, and verifying the integrity of the data.


Data synchronization: Integrating, matching, or linking data from disparate sources.


Data enrichment: Enhancing data using information from internal and external data sources.


Data maintenance: Checking and controlling data integrity over time.