Data is positioned as a primary focus for the course. Specifically, Big Data in
ID: 3576765 • Letter: D
Question
Data is positioned as a primary focus for the course. Specifically, Big Data in the discussions, and Data Flow Diagrams and Data Models in the project work. While data has many challenging aspects, our organizations must become more “data-literate”, which is a long journey to re-tool the personnel within the organization
Q1. Why Data is the most important aspect as compared to the User Interface and Application layers
Q2. How Big Data makes data as this “most important” aspect especially unwieldy to harness
Discussions how Big Data introduces new challenges and opportunities to the traditional analysis and design methodologie
Explanation / Answer
Data layer is important more when compared to application layer and user interface layer:
The Data layer is generally provides access to the external systems that is(i.e,) database.
The data layer is primarily used in dot net technology is involved to ADo.net.
By using data we can easily access data.
But in user interface it is highly complex.
If we want to reusable,extensible and maintainable we can again create a seperate user interface
process.
The UIp compononents are typically custom components that are depends on design pattern.
for tansfer data in application layer it uses different network services.
So that data is important when compared to application layer and user interface .
2)
In past google,ebay,Linkedin and facebook were built with big data in beginning.
The big data technology did not merge with traditional it infrastructure.
BIG DATA generally performed alone with other data analystic it will work properly.
Bigdata is growing technology now a days.
It can handles storage, transportation and exploitation.
Previously big data were not able to capture and store data.
In now a days due to increase performance,and helps in business modelling.
Provides decisions and support for business models.
Now big data is accessible,reliable secure and manageable.
Infromation extracting and cleaning
Privacy
These are the new challanges and opportunities to the traditional analysis and design methodology.
Day by day technology is increases in previous it does not store the data up to maximum extent of time.
By increasing new challanges by using different data and analyticals it will reach all the past problems.
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