Logo

Navigation
  • Home
  • Services
    • ERP Solutions
    • Implementation Solutions
    • Support and Maintenance Solutions
    • Custom Solutions
    • Upgrade Solutions
    • Training and Mentoring
    • Web Solutions
    • Production Support
    • Architecture Designing
    • Independent Validation and Testing Services
    • Infrastructure Management
  • Expertise
    • Microsoft Development Expertise
    • Mobile Development
    • SQL Server Database and BI
    • SAP BI, SAP Hana, SAP BO
    • Oracle and BI
    • Oracle RAC
  • Technical Training
    • Learn Data Management
      • Business Intelligence
      • Data Mining
      • Data Modeling
      • Data Warehousing
      • Disaster Recovery
    • Learn Concepts
      • Application Development
      • Client Server
      • Cloud Computing Tutorials
      • Cluster Computing
      • CRM Tutorial
      • EDI Tutorials
      • ERP Tutorials
      • NLP
      • OOPS
      • Concepts
      • SOA Tutorial
      • Supply Chain
      • Technology Trends
      • UML
      • Virtualization
      • Web 2.0
    • Learn Java
      • JavaScript Tutorial
      • JSP Tutorials
      • J2EE
    • Learn Microsoft
      • MSAS
      • ASP.NET
      • ASP.NET 2.0
      • C Sharp
      • MS Project Training
      • Silverlight
      • SQL Server 2005
      • VB.NET 2005
    • Learn Networking
      • Networking
      • Wireless
    • Learn Oracle
      • Oracle 10g
      • PL/SQL
      • Oracle 11g Tutorials
      • Oracle 9i
      • Oracle Apps
    • Learn Programming
      • Ajax Tutorial
      • C Language
      • C++ Tutorials
      • CSS Tutorial
      • CSS3 Tutorial
      • JavaScript Tutorial
      • jQuery Tutorial
      • MainFrame
      • PHP Tutorial
      • VBScript Tutorial
      • XML Tutorial
    • Learn Software Testing
      • Software Testing Types
      • SQA
      • Testing
  • Career Training
    • Career Improvement
      • Career Articles
      • Certification Articles
      • Conflict Management
      • Core Skills
      • Decision Making
      • Entrepreneurship
      • Goal Setting
      • Life Skills
      • Performance Development
      • Personal Excellence
      • Personality Development
      • Problem Solving
      • Relationship Management
      • Self Confidence
      • Self Supervision
      • Social Networking
      • Strategic Planning
      • Time Management
    • Education Help
      • Career Tracks
      • Essay Writing
      • Internship Tips
      • Online Education
      • Scholarships
      • Student Loans
    • Managerial Skills
      • Business Communication
      • Business Networking
      • Facilitator Skills
      • Managing Change
      • Marketing Management
      • Meeting Management
      • Process Management
      • Project Management
      • Project Management Life Cycle
      • Project Management Process
      • Project Risk Management
      • Relationship Management
      • Task Management
      • Team Building
      • Virtual Team Management
    • Essential Life Skills
      • Anger Management
      • Anxiety Management
      • Attitude Development
      • Coaching and Mentoring
      • Emotional Intelligence
      • Stress Management
      • Positive Thinking
    • Communication Skills
      • Conversation Skills
      • Cross Culture Competence
      • English Vocabulary
      • Listening Skills
      • Public Speaking Skills
      • Questioning Skills
    • Soft Skills
      • Assertive Skills
      • Influence Skills
      • Leadership Skills
      • Memory Skills
      • People Skills
      • Presentation Skills
    • Finding a Job
      • Etiquette Tips
      • Group Discussions
      • HR Interviews
      • Interview Notes
      • Job Search Tips
      • Resume Tips
      • Sample Resumes
 

Federated Data Warehouse Architecture

By Exforsys | on September 16, 2006 |
Data Warehousing

Federated Data Warehouse Architecture

Federated data warehouse architecture is a system that works with numerous data mart systems, analytical applications, and operational data stores. A federated DW architecture is a system that is composed of multiple architectures.

Many experts will tell you that there are a number of advantages to using a centralized data warehouse system. A federated data warehouse architecture will share information among a number of different systems. Critical master files will be shared, and the other system will be able to use this information. The federated data warehouse architecture will work with an ETL tool. The ETL tool will host a meta data repository.

When many people first hear about a federated DW architecture, they will often wander if it is the same as a bottom-up dimenison approach. Though the transfer of common data is the same, the federated DW architecture will have unique components that will hold feeds for numerous types of data. These feeds will not be shared by other components. The federated DW architecture has a data sharing system which is not as clean as the bottom-up approach. In a federated DW architecture, the shared information may be taken from the mid-section of the system instead of the source. This architecture was designed to be an orthodoxed solution.

There are a number of ways that a federated DW architecture can be built. The first thing you can do is document the data warehouse system that you’re already using with an enterprise data warehouse architecture. At the zenith of this system is a diagram that will show you the numerous systems and meta data that is exchanged between them. After you have done this, you will next need to document your current data warehouse system based on the data flow. The data flow will come from multiple sources, and it may also come from transformations or meta data repositories. Each element will need to be rated based on the quality and accessibility.

Once this has been done, you will need to figure out which data is useful for numerous systems. An example of this would be adding financial information to advertising data. This will allow your company to better market its products to customers. Now that you’ve done this, you will need to gather the candidates from the third step and study them to determine how important they are. There are a number of build assessments that are available online. Generally, it is best to choose the candidate that has an excellent balance between risk and impact. While you don’t want too much risk, it is also important to make sure you don’t have too large of an impact. There are a large number of architectures that can be used with a data warehouse, and each will have its own advantages and disadvantages.

The last thing you will need to do is create an iteration which is connected to the federated DW architecture. It will need to be reserved for the best candidate. Despite many of the disadvantages that are associated with this system, it is one of the best for those who want a powerful data warehouse. A data warehouse is an important tool that can allow a company to profit. The information can be stored in a central location, and it can be reviewed and analyzed. Once the information is analyzed, an organization or company can make important business decisions that can allow them to compete. Data warehouses are extremely advanced, because a large amount of space is necessary to store the data that must be reviewed.

A data warehouse is an indispensable tool for large companies and organizations. While information can be useful, it means little if it cannot be stored and analyzed in a useful way. If the information can be organized, it can be studied, and this can allow a company to develop a number of strategies that can be used to solve problems.

A company can also learn more about their customers, transactions, and profits. A company can study this items to find patterns which can allow them to improve the quality of their business. In addition to this, the company can learn how to avoid costly mistakes. Information can provide the knowledge that companies need.

« « The Difference Between Data Mart and Data Warehouse
Design Documents in Programming Methodology » »

Author Description

Avatar

Editorial Team at Exforsys is a team of IT Consulting and Training team led by Chandra Vennapoosa.

Free Training

RSSSubscribe 394 Followers
  • Popular
  • Recent
  • Crucial Requirements For Successful Data Warehouses

    February 7, 2007 - 0 Comment
  • Data Warehouse Overview

    August 14, 2006 - 0 Comment
  • Data Warehouses Non Technical Issues

    June 23, 2007 - 0 Comment
  • Maintaining Records Within a Data Warehouse

    September 15, 2006 - 0 Comment
  • Why Data Warehouses Can Be Useful

    February 8, 2007 - 0 Comment
  • Data Warehouse Tools

    August 18, 2006 - 0 Comment
  • Advantages and Disadvantages to Using a Data Warehouse

    September 15, 2006 - 0 Comment
  • Fundamental Themes For Your Data Warehouse

    February 8, 2007 - 0 Comment
  • Data Warehousing Methods

    August 22, 2006 - 0 Comment
  • The Difference Between Data Mart and Data Warehouse

    September 15, 2006 - 0 Comment
  • Data Warehouses Non Technical Issues

    June 23, 2007 - 0 Comment
  • How To Evaluate The Software For your Data Warehouse

    February 15, 2007 - 0 Comment
  • Understanding The Challenges of Using Data Warehouses

    February 15, 2007 - 0 Comment
  • Understanding Quality Management For Data Warehouses

    February 13, 2007 - 0 Comment
  • Creating an Efficient Process for Data Warehouses

    February 13, 2007 - 0 Comment
  • How Does a Data Warehouse Differ From a Database

    February 11, 2007 - 0 Comment
  • How Data Is Stored Within a Data Warehouse

    February 11, 2007 - 0 Comment
  • How To Rate Your Data Warehouse

    February 10, 2007 - 0 Comment
  • What You Should Know About Building a Data Warehouse

    February 10, 2007 - 0 Comment
  • Fundamental Themes For Your Data Warehouse

    February 8, 2007 - 0 Comment

Exforsys e-Newsletter

ebook
 

Related Articles

  • Data Warehouses Non Technical Issues
  • How To Evaluate The Software For your Data Warehouse
  • Understanding The Challenges of Using Data Warehouses
  • Understanding Quality Management For Data Warehouses
  • Creating an Efficient Process for Data Warehouses

Latest Articles

  • Project Management Techniques
  • Product Development Best Practices
  • Importance of Quality Data Management
  • How to Maximize Quality Assurance
  • Utilizing Effective Quality Assurance Strategies
  • Sitemap
  • Privacy Policy
  • DMCA
  • Trademark Information
  • Contact Us
© 2023. All Rights Reserved.IT Training and Consulting
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.AcceptReject Read More
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT