data warehouse

Data Warehouse

Presented By: Tasnif Mahmud 1030882530

A.K.M. Ashraf 1020029030

Tanvir ul Islam Khan 1020645030

Afsana Akter 1020304030

Razanul Haque 1020873030

Definition of data warehouse

A data warehouse is a subject-oriented, integrated, time-vari ant and non-volatile collection of data in support of management’s decision making process (Bill Inmon)

Inmon, W.H.(2005). Building the Data Warehouse , 4th edition , New York : Wiley

Characteristics of Data Warehouse

• Subject Oriented: Data are organized by detailed subject, such as sales, products or customers . It contains only information relevant for decision support.

• Integrated: It integrates data from different sources into a consistent format.

• Time Variant: A data warehouse maintains historical data . It enables users to forecast and make comparison among data.

• Nonvolatile: Data are non volatile in the data warehouse. Once they are entered, users can not change the data .

Inmon, W.H.(2005). Building the Data Warehouse , 4th edition , New York : Wiley

Types of Data Warehouse

• Data Marts

• Operational Data Stores(ODS)

• Enterprise Data Warehouse(EDW)

Watson,H.J.(2002) ‘Recent Developments in Data Warehousing’.Communications of the ACM, Vol.8, No.1

Data MartData Mart: Data mart is usually smaller and focuses on a particularsubject or department. It is a subset of a data warehouse, typicallyconsisting of single subject area.

Data marts can be either Dependent or Independent

Department Data Mart is subset that is created directly from dataWarehouseIndependent Data Warehouse is a small warehouse designed for astrategic business unit or a department

Operational Data Stores (ODS)

It provides recent form of customer information file . It is used for short time decision making .It consolidates from multiple source system.

Enterprise Data Warehouses (EDW):

It is a large scale data warehouse that is used across the enterprise for decision support. It provides integration of data from many sources into a standard format for effective business Intelligence and decision support applications.

Data Warehousing ProcessData source: Data are sourced from multiple independent operational systemsand external sourcesData Extraction: Data are extracted using custom-written or commercial softwarecalled ETL Data Loading: Data are loaded into a staging area where they are transformed andcleansed. Comprehensive database: its provides all relevant summarized and detailedinformation from various sources like a EDW Meta Data: It includes software programs about data and rules for organizing dataso that is can be easy for IT personal to search, especially with web tools

Middleware tools: It enables to access to the DW.

Efrain Turban(2011)Decision Support and Business Intelligence System, Data Warehousing , pg:334

Data Warehousing Process

Data Warehouse Vendors

www.google .com

Name of Vendor Product Offerings

SAP Comprehensive set of DW tools and applications

Microsoft DW tools and precuts

Oracle DW tools , CRM tools , products and applications

Dell DW servers (they don`t provide DW software)

Hp DW servers(they don`t provide DW software)

IBM DW tools , products and applications

Data Warehouse Vendors


Vendors market share

Dan Vesset Brian McDonough ,Mary Wardley (2012)Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares(Online)available on http://idcdocserv.com/235494e_sas , Accessed: 1st Aug , 2012

Critical analysis of the DW software vendorsSAP Factors which make SAP successful in the market Broad range of EDW services Fully integration with service oriented architecture capabilities Row-based storage supporting capabilities.

IBM IBM may be implemented on different software and hardware platforms IBM ensures efficient database security systems, information governance tools,

and life-cycle management.

IBM appliances are always well-prepared for supporting and managing mixed workloads

Dan Vesset Brian McDonough ,Mary Wardley (2012)Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares(Online), available on http://idcdocserv.com/235494e_sas , Accessed: 1st Aug , 2012

Critical analysis of the DW software vendors

Oracle

Oracle gives its customers a possibility of choosing different Optimized Warehouse EDW appliances

Oracle solutions meet the expectations of customers representing different sizes companies and diversified requirements.

Dan Vesset Brian McDonough ,Mary Wardley (2012)Worldwide Business Analytics Software 2012–2016 Forecast and 2011 Vendor Shares(Online),available on http://idcdocserv.com/235494e_sas ,Accessed: 1st Aug , 2012

Top down development (EDW) approach

This approach does not hinder the creation of data marts . The top down approach is the ideal approach because it provides a consistent and comprehensive view of the enterprise .

This approach is supported by Bill Inmon

Data Warehouse Development Approach :



Top Down or EDW approach

Bottom up approach or Data Mart approach

This Data Mart approach is subject oriented or departmentoriented data warehouse . It is a scaled-down version of a datawarehouse that focuses on the requests of a specific department .This model applies dimensional data modeling .




Bottom up approach or Data Mart approach

Contrast between the Data Mart approach & EDW approach :

Efforts Data Mart EDW Approach

Scope One subject area Several subject area

Development time Several months Years

Development Cost $10,000 to $100,000+

$1000000+

End user accessibility

High Low

Primarily audience End users IT professionals

J.Van den Hoven,(2003) ‘Data Marts: Plan Big, Build Small,’in IS Management Handbook, 8th edition

For large companies such as BAT(British American Tobacco) aor Uniliver they can go for EDW approach and many vendorssuch as SAP , ORACEL or IBM they provide DW services forlarge multi national companies

And for middle size organization they can go for Data Martapproach which is less costly than EDW approach .Andcompanies like Data Mirror . HP , Teradata companies theyprove DW services for middle sized companies

Data Warehouse Vendors for Bangladesh

IBCS-PRIMAX Software(Bangladesh) Limited, http://www.ibcs-primax.com/service/data-warehousing-and-business-intelligence.htmlAccessed :19th july,2012

Bangladesh Bank has taken the initiative toimplement an Enterprise Data Warehouse (EDW). Inthis context MicroMac Techno Valley Ltd. Hasdeveloped an application BBDAWAR Tool to simplifythe process of entry and management of data togenerate and submit the CSV files to meetBangladesh Bank requirements.

Data Warehouse Vendors for Bangladesh

BBDAWAR Tool: Bangladesh Bank Data Warehouse Reporting Tool, http://www.mmtvbd.com/MicroMac_Product_BBDAWAR_Tool.aspx

Accessed on : 28th July,2012

• The project must fit with corporate strategy and business objectives• There project must be complete buy-in to the project by executives ,

managers & users• IT is important to managers user expectations about the completed

project • The data warehouse must be built incrementally • The project must be built by both IT and business professionals • Be politically aware

Issues of Implementation of DW

Wier, R.(2002,Winter).’Best Practices for Implementing a Data Warehouse’.Journal of Data Warehuosing ,Vol.07,No-1

• End users can perform extensive analysis in numerous ways • A consolidated view of corporate data is possible • Better and more timely information is possible • Enhanced system performance can result • Data access is simple

Benefits of DW


a) Inmon, W.H.(2005). Building the Data Warehouse , 4th edition , New York : Wileyb) Watson,H.J.(2002) ‘Recent Developments in Data Warehousing’.Communications of the ACM, Vol.8,

No.1c) Efrain Turban(2011)Decision Support and Business Intelligence System, Data Warehousing ,

pg:334d) Dan Vesset Brian McDonough ,Mary Wardley (2012)Worldwide Business Analytics Software 2012–

2016 Forecast and 2011 Vendor Shares(Online) , available on http://idcdocserv.com/235494e_sas . Accessed: 1st Aug , 2012

e) Efrain Turban(2011)Decision Support and Business Intelligence System, Data Warehousing , pg:349

f) J.Van den Hoven,(2003) ‘Data Marts: Plan Big, Build Small,’in IS Management Handbook, 8th editiong) IBCS-PRIMAX Software(Bangladesh) Limited, http://www.ibcs-primax.com/service/data-

warehousing-and-business-intelligence.html,Accessed :19th july,2012 h) BBDAWAR Tool: Bangladesh Bank Data Warehouse Reporting Tool,

http://www.mmtvbd.com/MicroMac_Product_BBDAWAR_Tool.aspxAccessed on : 28th July,2012

i) Wier, R.(2002,Winter).’Best Practices for Implementing a Data Warehouse’.Journal of Data Warehuosing ,Vol.07,No-1

j) Efrain Turban(2011)Decision Support and Business Intelligence System, Data Warehousing , pg:346

References

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