platform tech rev Flashcards
1
Q
- quality dealing with generic forms rather than specific events
A
- Abstraction
2
Q
- This is achieved by defining a core set of building blocks
A
- Bunding
3
Q
- Platforms are open systems
A
- Interoperability
4
Q
- Adaptive capacity and agility are, and will increasingly be seen as a key requirement
A
- Evolution
5
Q
- critical aspect of platform technology
A
- Interface
6
Q
- represents the software solutions and services
A
- Application
7
Q
- is a fundamental component of platform technologies
A
- Operating System
8
Q
- underlying hardware and networking components
A
- Infrastructure
9
Q
- facilitates communication between different layers of the platform
A
- Interrelationship/Interoperability
10
Q
- machine language was developed
- vacuum tubes for circuity
A
1st generation (1940 – 1955)
(1980 – present)
11
Q
- cobol and fortran are employed as assembly language
- transistors
A
2nd generation (1957 – 1963)
12
Q
- integrated circuit, high level of programming
A
3rd generation (1964 – 1971)
13
Q
- invention of microprocessors
- C, C++, java
A
4th generation (1971-1980)
14
Q
- AI
A
5th generation
15
Q
- Vacuum Tubes and Plugboards
- By the 1950’s punch cards were introduced
A
1st generation (1940 – 1955)
16
Q
- Transistors and Batch Systems
A
2nd generation (1955 – 1965)
17
Q
- Integrated Circuits and Multiprogramming
A
3rd generation (1965 – 1980)
18
Q
- personal computers
A
4th generation (1980 – present)
19
Q
Passive entity
A
– program
20
Q
Active entity
A
– process
21
Q
- used when source CPU type different from target type
A
Emulation
22
Q
– OS natively compiled for CPU, running guest OSes also natively compiled
A
Virtualization
23
Q
– available via Internet to anyone willing to pay
A
Public cloud
24
Q
– run by a company for the company’s own use
A
Private cloud
25
– includes both public and private cloud components
Hybrid cloud
26
– one or more applications available via the Internet
Software as a Service (SaaS)
27
– software stack ready for application use via the Internet
Platform as a Service (PaaS)
28
– servers or storage available over Internet
Infrastructure as a Service (IaaS)
29
- refers to the science of analyzing raw data to make conclusions about information.
Data Analytics
30
-search for own data, whether it is given or collected from different sources
Data Mining
31
-people who process data regardless of its type
Data Analysis
32
Steps in Data Analysis
- Determine the data requirements or how the data is grouped.
- Collect the data.
- Organize the data after it's collected so it can be analyzed.
- Clean up the data before it is analyzed
33
This describes what has happened over a given period of time.
- Descriptive analytics:
34
This focuses more on why something happened.
- Diagnostic analytics:
35
This moves to what is likely going to happen in the near term.
- Predictive analytics:
36
This suggests a course of action.
- Prescriptive analytics:
37
analyzing the relationship between one or more independent variables and a dependent variable.
-Regression Analysis:
38
taking a complex dataset with many variables and reducing the variables to a small number.
- Factor Analysis:
39
This is the process of breaking a data set into groups of similar data
- Cohort Analysis:
40
Models the probability of different outcomes happening.
- Monte Carlo Simulations:
41
Tracks data over time
Time Series Analysis:
42
The Role of Data Analytics
- Data analytics can enhance operations, efficiency, and performance in numerous industries by shining a spotlight on patterns.
