BIT Session 9 d.punia

8/3/2019 BIT Session 9 d.punia

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Basics of IT & MIS

Session 9

Dr. Devendra Kumar [email protected]

[email protected]



Bank of Baroda ± enterprise data management



File organization



File organization

Problems with the traditional file environment

Data redundancy and inconsistency

Program-data dependence

Lack of flexibility

Poor security

Lack of data sharing and availability



Database management systems

How a DBMS solves the problems of the traditional file

environment

Database Approach to Data Management



Figure 6-3

A single human

resources database

provides many

different views of

data, depending on

the information

requirements of the

user. Illustrated here

are two possible

views, one of interestto a benefits

specialist and one of

interest to a member

of the company¶s

payroll department.

Human Resources Database with Multiple ViewsHuman Resources Database with Multiple Views




Database management systems

Relational DBMS

Operations of a relational DBMS

Object-oriented DBMS




Capabilities of database management systems

Data definition and data dictionary

Querying and reporting

Designing databases

Normalization and entity-relationship diagrams

Distributing databases




Distributed DatabasesDistributed Databases Figure 6-12

There are alternative ways of distributing a database. The central database can be partitioned (a) so that each

remote processor has the necessary data to serve its own local needs. The central database also can be

replicated (b) at all remote locations.




Database warehouses

What is a data warehouse?

Data marts

Using Databases in Business



Components of a Data WarehouseComponents of a Data Warehouse Figure 6-13

The datawarehouse

extracts current

and historical data

from multiple

operational

systems inside the

organization.

These data arecombined with

data from external

sources and

reorganized into a

central database

designed for

management

reporting and

analysis. The

information

directory provides

users with

information about

the data available

in the warehouse.




Business intelligence




Online analytical processing (OLAP)

Data mining

Associations

In sequence

Classification

Clustering

Forecasting

Predictive analysis

Text Mining and Web Mining

Databases and the Web




Databases and the Web




Managing Data Resources

Establishing and information policy

Data administration / governance

Ensuring data quality



Thanks

Documents

BIT Session 9 d.punia