Academic Tutorials

English | French | Portugese | German | Italian
Home Advertise Payments Recommended Websites Interview Questions FAQs
News Source Codes E-Books Downloads Jobs Web Hosting

Data Warehousing
Datawarehousing Introduction
Datawarehousing Glance
Datawarehousing Overview
Datawarehousing Tools
Datawarehousing Methods
Datawarehousing Design
Datawarehousing Assess
Datawarehousing Structure
Datawarehousing Protect
Datawarehousing Uses
Datawarehousing Historical Information
Datawarehousing Manage a Data
Datawarehousing Manage Meta Data
Datawarehousing Architecture
Datawarehousing Records
Datawarehousing Advantages
Datawarehousing Data Mart
Datawarehousing Principles
Datawarehousing Benefits
Datawarehousing Disadvantages
Datawarehousing Issues
Datawarehousing Requirements
Datawarehousing Useful
Datawarehousing Themes
Datawarehousing Building
Datawarehousing Rating
Datawarehousing differ from a Database
Datawarehousing Efficient Process
Datawarehousing Quality Management
Datawarehousing Evaluate the Software
Datawarehousing Challenges
Datawarehousing Non Technical

HTML Tutorials
HTML Tutorial
XHTML Tutorial
CSS Tutorial
TCP/IP Tutorial
CSS 1.0
CSS 2.0
XML Tutorials
XML Tutorial
XSL Tutorial
XSLT Tutorial
DTD Tutorial
Schema Tutorial
XForms Tutorial
XSL-FO Tutorial
XML DOM Tutorial
XLink Tutorial
XQuery Tutorial
XPath Tutorial
XPointer Tutorial
RDF Tutorial
SOAP Tutorial
WSDL Tutorial
RSS Tutorial
WAP Tutorial
Web Services Tutorial
Browser Scripting
JavaScript Tutorial
VBScript Tutorial
DHTML Tutorial
HTML DOM Tutorial
WMLScript Tutorial
E4X Tutorial
Server Scripting
ASP Tutorial
PERL Tutorial
SQL Tutorial
ADO Tutorial
Apple Script
PL/SQL Tutorial
SQL Server
.NET (dotnet)
.Net Mobile
C# : C Sharp
SVG Tutorial
Flash Tutorial
Media Tutorial
SMIL Tutorial
Photoshop Tutorial
Gimp Tutorial
Gnuplot Programming
GIF Animation Tutorial
Scientific Visualization Tutorial
Web Building
Web Browsers
Web Hosting
W3C Tutorial
Web Building
Web Quality
Web Semantic
Web Careers
Weblogic Tutorial
Web Site Hosting
Domain Name
Java Tutorials
Java Tutorial
JSP Tutorial
Servlets Tutorial
Struts Tutorial
EJB Tutorial
JMS Tutorial
JMX Tutorial
Programming Langauges
C Tutorial
C++ Tutorial
Visual Basic Tutorial
Data Structures Using C
Assembly Language
Forth Programming
Lisp Programming
Data Warehousing
CGI Programming
Emacs Tutorial
Soft Skills
Communication Skills
Time Management
Project Management
Team Work
Leadership Skills
Corporate Communication
Negotiation Skills
Database Tutorials
Operating System
Software Testing
SAP Module
Business Warehousing
SAP Basis
Material Management
Sales & Distribution
Human Resource
Customer Relationship Management
Production and Planning
Networking Programming
Corba Tutorial
Networking Tutorial
Microsoft Office
Microsoft Word
Microsoft Outlook
Microsoft PowerPoint
Microsoft Publisher
Microsoft Excel
Microsoft Front Page
Microsoft InfoPath
Microsoft Access
Financial Accounting
Managerial Accounting
Network Sites

Building a Data Warehouse

Previoushome Next

Building a Data Warehouse

Building a data warehouse involves several complicated steps and can take time if the population routines aren't designed carefully. But the effort is worth it.


A data warehouse, of course, isn't actually an application itself, but an enabling tool that allows select individuals to develop high-powered forecasting and performance monitoring functions. It is a very sophisticated application development kit that can be directly put to work by users. Building a dtawarehouse involves creating a storage system that consolidates vast amounts of relevant data and stores it in such a way as to maximize its convertibility into useful information. Since the whole point of a data warehouse is to consolidate data that is difficult to pull together otherwise, your design must allow for data acquisition from multiple databases in-house, from remote locations in your company WAN, and from external sources.

Building a data warehouse involves several complicated steps. After the data warehousing architect locates all data elements necessary to support the data warehouse, it is time to build a dimensional model. As data change in transactional systems, the data warehouse needs to have a way of tracking and reflecting such changes. Populating fact and dimension tables can take considerable amount of time if the population routines aren't designed carefully.

Transform the Data for Optimum Usage

As data is extracted from various sources, it needes to be processed in several ways.

  • Integration : Common fields used in data structures from different sources must be reconciled, both structurally and content-wise. Differing measurements must be transformed. Fields of differing lengths and formats must be negotiated.
  • Condensation: Where possible, condense data at the time of extraction and before loading into the warehouse.
  • Stabilization: Frequency of data change to be found out. e.g the name of a product almost never does, but its price often does. Quantity/on-hand changes continuously. Data can be grouped together by attribute, depending on the attribute's stability. The power to configure data in this way has obvious design benefits.
  • Normalization: Data warehouse is a high I/O environment. When data is normalized, there are occurrences of related items in different locations. This isn't I/O efficient. To avoid such inefficiency instances where the number of occurrences of a particular data item is stable enough are to be identified so as to grab it with a single I/O.

Equip the system with superior tools

In addition to the extra storage, the data warehouse system needs to be equiped with several pieces of key software:

  • Extract-Transform-Load (ETL) : This software is the workhorse of a data warehouse. It will wind up costing you more than every other component combined in building the warehouse.
  • Online Analytical Processing (OLAP) : On-Line Analytical Processing (OLAP) is a category of software technology that enables analysts, managers and executives to gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information that has been transformed from raw data to reflect the real dimensionality of the enterprise as understood by the user.OLAP functionality is characterized by dynamic multi-dimensional analysis of consolidated enterprise data supporting end user analytical and navigational activities
  • Data mining and EIS : Datamining, other than multidimensional analysis (OLAP), is intended to show any correlations in a significant volume of data of the information system in order to detect any trends.Datamining is supported by artificial intelligence (neural network) techniques to show hidden links between data.
    An EIS (Executive Information System) is a tool which makes it possible to organize, analyze, and determine indicators to create border tables. This type of easy-to-ise tool only makes it possible to handle queries modeled prior thereto by the designer.

Major design considerations

  • Data granularity : Granularity refers to the data's level of detail. The more detailed a data item is, the more granular it is. One instance of a purchase order, for example, would have high granularity; a summary record of all purchase orders for a sales quarter would have low granularity.
    This is the single greatest factor in determining how much storage is needed for the warehouse over time, because it determines the volume of the data for required for analysis and reporting. As a rule, data is going to have high granularity levels (too high) coming in. It should be broken down at the ETL stage. Granularity vs. storage is a trade-off, to be sure, but the more granular the data, the more flexible it is.
  • Partitioning : For efficiency reasons, data should be broken into physical units that can be easily handled using partitioning. In general, it is best to partition along subject lines.

A data warehouse can't be explicitly defined, functionally, before it's up and running, because neither executives nor trench-level users really know what actually is looked for.For this reason, the data warehouse is never quite finished. The analytics grow in sophistication with time; data gets refined and configured in new and different ways as results improve. A data warehouse is a growing, evolving thing, and so is an iterative process, heavily dependent on your the community and their creative efforts to pull out information that improves performance.

Be the first one to comment on this page.

  Data Warehousing eBooks

No eBooks on Data Warehousing could be found as of now.

 Data Warehousing FAQs
More Links » »
 Data Warehousing Interview Questions
More Links » »
 Data Warehousing Articles
More Links » »
 Data Warehousing News
More Links » »
 Data Warehousing Jobs
More Links » »

Share And Enjoy:These icons link to social bookmarking sites where readers can share and discover new web pages.
  • blinkbits
  • BlinkList
  • blogmarks
  • co.mments
  • connotea
  • digg
  • Fark
  • feedmelinks
  • Furl
  • LinkaGoGo
  • Ma.gnolia
  • NewsVine
  • Netvouz
  • RawSugar
  • Reddit
  • scuttle
  • Shadows
  • Simpy
  • Smarking
  • Spurl
  • TailRank
  • Wists
  • YahooMyWeb

Previoushome Next

Keywords: data warehouse structure,data warehouse archiecture,data warehouse advantages,data warehouse design,data warehouse issues

HTML Quizzes
CSS Quiz
CSS 1.0 Quiz
CSS 2.0 Quiz
XML Quizzes
XML Quiz
XSL Quiz
DTD Quiz
Schema Quiz
XForms Quiz
XLink Quiz
XQuery Quiz
XPath Quiz
XPointer Quiz
RDF Quiz
RSS Quiz
WAP Quiz
Web Services Quiz
Browser Scripting Quizzes
JavaScript Quiz
VBScript Quiz
WMLScript Quiz
E4X Quiz
Server Scripting Quizzes
ASP Quiz
SQL Quiz
ADO Quiz
CVS Quiz
Python Quiz
Apple Script Quiz
SQL Server Quiz
PHP Quiz
.NET (dotnet) Quizzes
Microsoft.Net Quiz
ASP.Net Quiz
.Net Mobile Quiz
C# : C Sharp Quiz
VC++ Quiz
Multimedia Quizzes
SVG Quiz
Flash Quiz
Media Quiz
Photoshop Quiz
Gimp Quiz
Matlab Quiz
Gnuplot Programming Quiz
GIF Animation Quiz
Scientific Visualization Quiz
Graphics Quiz
Web Building Quizzes
Web Browsers Quiz
Web Hosting Quiz
W3C Quiz
Web Building Quiz
Web Quality Quiz
Web Semantic Quiz
Web Careers Quiz
Weblogic Quiz
SEO Quiz
Web Site Hosting Quiz
Domain Name Quiz
Java Quizzes
Java Quiz
JSP Quiz
Servlets Quiz
Struts Quiz
EJB Quiz
JMS Quiz
JMX Quiz
Eclipse Quiz
J2ME Quiz
Programming Langauges Quizzes
C Quiz
C++ Quiz
Visual Basic Quiz
Data Structures Using C Quiz
Cobol Quiz
Assembly Language Quiz
Mainframe Quiz
Forth Programming Quiz
Lisp Programming Quiz
Pascal Quiz
Delphi Quiz
Fortran Quiz
OOPs Quiz
Data Warehousing Quiz
CGI Programming Quiz
Emacs Quiz
Gnome Quiz
ILU Quiz
Soft Skills Quizzes
Communication Skills Quiz
Time Management Quiz
Project Management Quiz
Team Work Quiz
Leadership Skills Quiz
Corporate Communication Quiz
Negotiation Skills Quiz
Database Quizzes
Oracle Quiz
MySQL Quiz
Operating System Quizzes
BSD Quiz
Symbian Quiz
Unix Quiz
Internet Quiz
IP-Masquerading Quiz
IPC Quiz
Software Testing Quizzes
Testing Quiz
Firewalls Quiz
SAP Module Quizzes
ERP Quiz
Business Warehousing Quiz
SAP Basis Quiz
Material Management Quiz
Sales & Distribution Quiz
Human Resource Quiz
Netweaver Quiz
Customer Relationship Management Quiz
Production and Planning Quiz
Networking Programming Quizzes
Corba Quiz
Networking Quiz
Microsoft Office Quizzes
Microsoft Word Quiz
Microsoft Outlook Quiz
Microsoft PowerPoint Quiz
Microsoft Publisher Quiz
Microsoft Excel Quiz
Microsoft Front Page Quiz
Microsoft InfoPath Quiz
Microsoft Access Quiz
Accounting Quizzes
Financial Accounting Quiz
Managerial Accounting Quiz
Testimonials | Contact Us | Link to Us | Site Map
Copyright ? 2008. Academic All rights reserved Privacy Policies | About Us
Our Portals : Academic Tutorials | Best eBooksworld | Beyond Stats | City Details | Interview Questions | Discussions World | Excellent Mobiles | Free Bangalore | Give Me The Code | Gog Logo | Indian Free Ads | Jobs Assist | New Interview Questions | One Stop FAQs | One Stop GATE | One Stop GRE | One Stop IAS | One Stop MBA | One Stop SAP | One Stop Testing | Webhosting in India | Dedicated Server in India | Sirf Dosti | Source Codes World | Tasty Food | Tech Archive | Testing Interview Questions | Tests World | The Galz | Top Masala | Vyom | Vyom eBooks | Vyom International | Vyom Links | Vyoms | Vyom World | Important Websites
Copyright ? 2003-2023 Vyom Technosoft Pvt. Ltd., All Rights Reserved.