This presentation talks about Data Warehousing,advantages and disadvantages, architecture, business intelligence and a lot more. hope you like the ppt.Good Luck :) *content referred from another source*

1. Group Members
RAKSHA JAIN [BBA015011]
SEJAL GAIKWAD [BBA015052]
AMITA PATIL [BBA015055]
TRUPTI JUMLE [BBA015057]
Submitted To:
Prof.Shalaka
DATA WAREHOUSE

2. WHAT IS A DATA WAREHOUSE?WHAT IS A DATA WAREHOUSE?
A single, complete and consistent store of data
obtained from a variety of different sources
made available to end users in a what they
can understand and use in a business context.

3. DATA WAREHOUSINGDATA WAREHOUSING

4. CHARACTERISTICS OFCHARACTERISTICS OF
DATA WAREHOUSINGDATA WAREHOUSING
 Subject oriented:
Gives information about a particular subject
 Integrated:
Combination of data from multiple and varied resources into
one database
 Time-variant:
All the data in data warehouse is identified with a particular
time period.
 Non-volatile:
Data is stable in data warehouse.
Data can be added but is never removed.
The final result is homogenous data, which can beThe final result is homogenous data, which can be
more easily manipulated.more easily manipulated.

5. HISTORYHISTORY
The concept of data warehouse dates back to 1980’s whenThe concept of data warehouse dates back to 1980’s when IBMIBM
researchersresearchers BARY DEVLINBARY DEVLIN andand PAUL MURPHYPAUL MURPHY developeddeveloped
“the business data warehouse”.“the business data warehouse”.
1970’s- ACNielsen and IRI provide dimensional1970’s- ACNielsen and IRI provide dimensional
data marts for retail sales.data marts for retail sales.
1983- Tera data introduces a database management system1983- Tera data introduces a database management system
specifically designed for decision support.specifically designed for decision support.

6. ADVANTAGESADVANTAGES
 It provides business users with a
customer-centric view of
company’s data which helps to
integrate data from sale, service,
manufacturing and distribution
and other customer related
business systems.
 It consolidates data about
individual customers and provides
a repository of all customer
contacts for customer retention
planning and cross sales analysis.
 It reports on trends across
multidivisional, multinational
operating units including trends
or relationships in areas such as
merchandising , production
planning , etc

7. DISADVANTANGESDISADVANTANGES
 Data warehouses are not optimal
for unstructured data.
 Because data must be extracted,
transformed and loaded into
warehouse, there is an element of
latency in data warehouse.
 Its maintenance cost is high.
 Data warehouse can get outdated
relatively quickly.
 There is often a fine line between
data warehouse and operational
systems . Delicacy, expensive
functionality may be developed .

8. DATA WAREHOUSE ARCHITECTUREDATA WAREHOUSE ARCHITECTURE
 AT THE TOP – AAT THE TOP – A
CENTRALIZED DATABASECENTRALIZED DATABASE
Generally Configured For
Queries And Appends – Not
Transactions
Many Indices, Materialized
Views, Etc.
Data is loaded and
periodically updated via
Extract/Transform/Load
(ETL) tools
Data Warehouse
ETL ETL ETL ETL
RDBMS1 RDBMS2
HTML1 XML1
ETL pipeline
outputs
ETL

9. 12 Rules Of A Data Warehouse12 Rules Of A Data Warehouse
Data Warehouse and
Operational Environments
are Separated
Data is integrated
Contains historical data over
a long period of time
Data is a snapshot data
captured at a given point in
time
Data is subject-oriented
Development Life Cycle has a
data driven approach versus
the traditional process-driven
approach
Contains a chargeback
mechanism for resource
usage that enforces optimal
use of data by end users
Mainly read-only with
periodic batch updates

10. CONT..CONT..
Data contains several
levels of detail
 Current, Old, Lightly
Summarized, Highly
Summarized
Environment is
characterized by Read-
only transactions to very
large data sets
Metadata is a critical
component
 Source, Transformation,
Integration, Storage,
Relationships, History, Etc.
System that traces data
sources, transformations,
and storage

11. DATA WAREHOUSE FORDATA WAREHOUSE FOR
DECISION SUPPORTDECISION SUPPORT

12. BUSINESS INTELLIGENCE AND
DATA WAREHOUSING

13. Thank YouThank You