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1) 500 words or less, differentiate : a Databases Management Systems b. Data Warehousing c.
Business Intelligence d. Data Mining
Solution
DataBase Management:
A Data Base Management System is a technology to store our data with in a System.and also to
update modify and do certain manuplation to our data and also proivde security to our
information.
before we dont have these data base management system.if we want to retrive data from system
or if we want to perfome any manuplations we need to know the file type of particular file
system and we write a program.
and that particular program is not used for other file types.
so it causes data dependenciey.
in order to overcome these problems a database management system.lies between os and file
sytem.which retrives data and gives to user if we dirctly qury to it.
ealrier different data models have been developed:
1.Hyrarichal model
2.Network model
3.Relational model
Hyraichal model:in hirearical model it follows tree structure.
so we need to know trees to use it
Network model:network model is based on graphs.we need know graps on our finger tips.
Relational model
everything is in the form of tables ..
DataWarehouse:
DataWarehouse is a collection of data from different sources and integrated..for example
different data from different relational databases are integrated and used for analysis and making
decisons on it.
A data warehouse provides us data to be view in multidimensional way. along with general view
of data it also provides an olap tool. this toool is used for analysis of data in multidimension
manner.
datawarehouse is used in many areas:
Tuning productions statagies.
customer analysis
operational analysis
Data Mining:
Data Mining is extracting useful or required information from large data or large data sets .for
example a large data set of employees is taken and some algoithms applied on it to retrive data
from it.
the best part of it is not only it retrives data .it performs various operation
all the operations comes under kdd ..
kdd stands for knowledge discovry from data.
various steps are:
data cleaning.
integration
transformation
data maining
pattern evolutionn
data presenting
among them data mining is the import task in that.
data cleaning and integration and transformation comes as pre data mining steps and rest all
comes under post data mining steps.
Bussiness Intelligent:
Bussiness intelligent is a tool is used for analysis of data or information to provide benifits to
organizations.
busiiness intelligent consists of many tools for analysis of data like data with in organization and
outside the organizations.
this tools is used and provides many benifits like to make good decision making and
understanding and various other factors.

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1) 500 words or less, differentiate a Databases Management Systems.pdf

  • 1. 1) 500 words or less, differentiate : a Databases Management Systems b. Data Warehousing c. Business Intelligence d. Data Mining Solution DataBase Management: A Data Base Management System is a technology to store our data with in a System.and also to update modify and do certain manuplation to our data and also proivde security to our information. before we dont have these data base management system.if we want to retrive data from system or if we want to perfome any manuplations we need to know the file type of particular file system and we write a program. and that particular program is not used for other file types. so it causes data dependenciey. in order to overcome these problems a database management system.lies between os and file sytem.which retrives data and gives to user if we dirctly qury to it. ealrier different data models have been developed: 1.Hyrarichal model 2.Network model 3.Relational model Hyraichal model:in hirearical model it follows tree structure. so we need to know trees to use it Network model:network model is based on graphs.we need know graps on our finger tips. Relational model everything is in the form of tables .. DataWarehouse: DataWarehouse is a collection of data from different sources and integrated..for example different data from different relational databases are integrated and used for analysis and making decisons on it. A data warehouse provides us data to be view in multidimensional way. along with general view of data it also provides an olap tool. this toool is used for analysis of data in multidimension
  • 2. manner. datawarehouse is used in many areas: Tuning productions statagies. customer analysis operational analysis Data Mining: Data Mining is extracting useful or required information from large data or large data sets .for example a large data set of employees is taken and some algoithms applied on it to retrive data from it. the best part of it is not only it retrives data .it performs various operation all the operations comes under kdd .. kdd stands for knowledge discovry from data. various steps are: data cleaning. integration transformation data maining pattern evolutionn data presenting among them data mining is the import task in that. data cleaning and integration and transformation comes as pre data mining steps and rest all comes under post data mining steps. Bussiness Intelligent: Bussiness intelligent is a tool is used for analysis of data or information to provide benifits to organizations. busiiness intelligent consists of many tools for analysis of data like data with in organization and outside the organizations. this tools is used and provides many benifits like to make good decision making and understanding and various other factors.