Lecture 3

DWH-Ahsan AbdullahDWH-Ahsan Abdullah
11
Data WarehousingData Warehousing
Lecture-3Lecture-3
Introduction and BackgroundIntroduction and Background
Virtual University of PakistanVirtual University of Pakistan
Ahsan Abdullah
Assoc. Prof. & Head
Center for Agro-Informatics Research
www.nu.edu.pk/cairindex.asp
FAST National University of Computers & Emerging Sciences, IslamabadFAST National University of Computers & Emerging Sciences, Islamabad

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Introduction and BackgroundIntroduction and Background

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What is a Data Warehouse ?What is a Data Warehouse ?
It is a blend of many technologies, the basic
concept being:

Take all data from different operational systems.

If necessary, add relevant data from industry.

Transform all data and bring into a uniform format.

Integrate all data as a single entity.

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What is a Data Warehouse ? (Cont…)What is a Data Warehouse ? (Cont…)
It is a blend of many technologies, the basic
concept being:

Store data in a format supporting easy access for
decision support.

Create performance enhancing indices.

Implement performance enhancement joins.

Run ad-hoc queries with low selectivity.

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Business user
needs info
User requests
IT people
IT people
create reports
IT people
send reports to
business user
IT people do
system analysis
and design
Business user
may get answers
Answers result
in more questions

?
How is it Different?How is it Different?
 Fundamentally differentFundamentally different

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 Different patterns of hardware utilizationDifferent patterns of hardware utilization
100%
0%
Operational DWH
Bus Service vs. TrainBus Service vs. Train

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 Combines operational and historical data.Combines operational and historical data.
 Don’t do data entry into a DWH, OLTP or ERP are the
source systems.
 OLTP systems don’t keep history, cant get balance
statement more than a year old.
 DWH keep historical data, even of bygone customers. Why?
 In the context of bank, want to know why the customer left?
 What were the events that led to his/her leaving? Why?
 Customer retention.

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How much history?How much history?
 Depends on:Depends on:
 Industry.Industry.
 Cost of storing historical data.Cost of storing historical data.
 Economic value of historical data.Economic value of historical data.

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 Industries and historyIndustries and history
 TelecommTelecomm calls are much much more as compared tocalls are much much more as compared to
bank transactions-bank transactions- 18 months18 months..
 RetailersRetailers interested in analyzing yearly seasonalinterested in analyzing yearly seasonal
patterns-patterns- 65 weeks65 weeks..
 InsuranceInsurance companies want to do actuary analysis, usecompanies want to do actuary analysis, use
the historical data in order to predict risk-the historical data in order to predict risk- 7 years7 years..

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EconomicEconomic valuevalue of dataof data
Vs.Vs.
StorageStorage costcost
Data Warehouse aData Warehouse a
complete repositorycomplete repository of data?of data?

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 Usually (but not always) periodic or batchUsually (but not always) periodic or batch
updates rather than real-time.updates rather than real-time.
 The boundary is blurring for active data warehousing.
 For an ATM, if update not in real-time, then lot of real
trouble.
 DWH is for strategic decision making based on historical
data. Wont hurt if transactions of last one hour/day are
absent.

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 Rate of update depends on:
 volume of data,
 nature of business,
 cost of keeping historical data,
 benefit of keeping historical data.

Lecture 3

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