Random Flashcards

1
Q

What is Moore’s law

A

Computing power doubles every 2 years (~18 months)

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1
Q

What is Metcalfe’s Law and network economics

A

Value or power of a network grows exponentially as a function of the
number of network members.

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2
Q

What is total cost of ownership (TCO)

A
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3
Q

What are the 7 components of the IT Infrastructure Ecosystem

A
  1. Computer hardware platforms
  2. Operating system platforms
  3. Enterprise software applications
  4. Data management and storage
  5. Networking/telecommunications platforms
  6. Internet platforms
  7. Consulting system integration services
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4
Q

Law of Mass Digital Storage

A

The amount of data being stored each year doubles

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5
Q

Computer Hardware Platforms

A
  • Client machines
    Desktop PCs, laptops
    Mobile computing: smartphones, tablets
    Desktop chips vs. mobile chips
  • Servers
  • Mainframes
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6
Q

System software

A

Software that manages a computer system at a fundamental level

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7
Q

Application software

A

Software written to address specific needs—to solve problems in the real
world

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8
Q

Operating System

A
  • manages computer resources, such as memory and input/output devices
  • provides an interface through which a human can interact with the computer
  • allows an application program to interact with these other system resources

corporate servers: windows, unix, linux
client level: microsoft, andriod, ios, chrome os

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9
Q

Enterprise Software Applications

A

Largest providers:
- SAP
- Oracle

Middleware providers:
- IBM
- Oracle

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10
Q

Main concern of complementary assets is

A

to optimize returns from information technology investments (it alone cant increase productivity)

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11
Q

Business perspective

A

Calls attention to organizational and managerial nature of information systems

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12
Q

Physical data organizations

A

Database: Group of related files

File: Group of records of same type

Record: Group of related fields

Field: Group of characters as word(s) or number(s)

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13
Q

Logical data concepts

A

Entity: Person, place, thing on which we store information

Attribute: Each characteristic, or quality, describing entity

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14
Q

Database Management System (DBMS) does what

A
  • Interfaces between applications and physical data files
    – Separates logical and physical views of data
    – Solves problems of traditional file environment
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15
Q

What are traditional file environment problems

A
  • Data redundancy
  • Data inconsistency
  • Program-data dependence
  • Lack of flexibility
  • Poor security
  • Lack of data sharing and availability
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16
Q

Relational DBMS

A
  • Represent data as two-dimensional tables
  • Each table contains data on entity and attributes
  • Table: grid of columns and rows
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17
Q

Records for different entities in relational DBMS

A

Rows (tuples)

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18
Q

Represents attribute for entity in relational DBMS

A

Fields (columns)

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19
Q

Field used to uniquely identify each record

A

Key field

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20
Q

Field in table used for key fields

A

Primary key

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21
Q

Primary key used in second table as look-
up field to identify records from original table

A

Foreign Key

22
Q

Three basic operations of a relational DBMS (SQL)

A

SELECT:
 Creates subset of data of all records that meet
stated criteria

JOIN:
 Combines relational tables to provide user with
more information than available in individual tables

PROJECT:
 Creates subset of columns in table, creating tables
with only the information specified

23
Q

Non-relational databases: “No SQL”

A

– More flexible data model
– Data sets stored across distributed machines
– Easier to scale
– Handle large volumes of unstructured and structured data

24
Databases in the cloud
– Appeal to start-ups, smaller businesses – Amazon Relational Database Service, Microsoft SQ L Azure – Private clouds
25
Blockchain
* Distributed ledgers in a peer-to-peer distributed database * Maintains a growing list of records and transactions shared by all * Encryption used to identify participants and transactions * Used for financial transactions, supply chain, and medical records * Foundation of Bitcoin, and other crypto currencies
26
Big data
Massive sets of unstructured/semi-structured data from web traffic, social media, sensors, and so on
27
Hadoop
Enables distributed parallel processing of big data across inexpensive computers
28
Data marts
Subset of data warehouse that typically focus on single subject or line of business
29
In-memory computing
ses computers main memory (Random Access Memory - RA M) for data storage to avoid delays in retrieving data from (older and slower) disk storage
30
Online Analytical Processing (OLAP)
Supports multidimensional data analysis – Viewing data using multiple dimensions
31
Data Mining
Finds hidden patterns, relationships in datasets
32
Text mining
Extracts key elements from large unstructured data sets
33
Web mining
Discovery and analysis of useful patterns and information from web
34
Data administration
Establishes policies and procedures to manage data
35
Data governance
Deals with policies and processes for managing availability, usability, integrity, and security of data, especially regarding government regulations
36
Database administration
Creating and maintaining database
37
Unstructured
Decision maker must provide judgment, evaluation, and insight to solve problem (non-routine)
38
Structured
Repetitive and routine; involve definite procedure for handling so they do not have to be treated each time as new
39
Semi-structured
Only part of problem has clear-cut answer provided by accepted procedure
40
Senior managers make
many unstructured decisions
41
Middle managers make
more structured decisions but these may include unstructured components
42
Operational managers and employees make
more structured decisions
43
Classical model of management: five functions
Planning, organizing, coordinating, deciding, and controlling
44
Business intelligence
- Infrastructure for collecting, storing, analyzing data produced by business – Databases, data warehouses, data marts
45
Business analytics
Tools and techniques for analyzing data
46
Business Intelligence Environment
1. Data from the business environment 2. Business intelligence infrastructure 3. Business analytics toolset 4. Managerial users and methods 5. Delivery platform: MIS, DSS, ESS 6. User interface
47
Balanced Scoreboard framework
1. Customers 2. Financial 3. Business processes 4. Learning and growth
48
Key performance indicators
measure each dimension of the balanced scoreboard
49
Pivot tables are an example of
Multidimensional analysis /OLAP
50
Geographic information systems (GIS)
Ties location-related data to maps
51
Location analytics
Ability to gain business insight from the location (geographic) component of data
52
Intranet is
a private network that is contained within an organization
53
Extranet is
a private network that allows authorized external users to access specific resources and information from an organization’s internal systems