Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data warehouse architecture that’s too narrowly focused
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > Data warehouse architecture that’s too narrowly focused
Business IntelligenceData Warehousing

Data warehouse architecture that’s too narrowly focused

RickSherman
RickSherman
1 Min Read
SHARE

In my DM Review columns, “The Accidental Architecture” and “Recovering from the Accidental Architecture,” I discussed whether people understood the “why” of best practices, such as dimensional modeling and hub-and-spoke architecture. In “Don’t Stop at How, Learn Why,” I discussed…

Dmreview_11

In my DM Review columns, “The Accidental Architecture” and “Recovering from the Accidental Architecture,”
I discussed whether people understood the “why” of best practices, such
as dimensional modeling and hub-and-spoke architecture. In “Don’t Stop at How, Learn Why,”
I discussed the most common problems when people are too hub myopic,
cloning their source systems or assuming the hub will support all
reporting and analytic needs.

More Read

Peter Drucker Correctly Predicted Today’s Information Revolution and the Power of Big Data Variety
The Importance of Business Intelligence in Organizations
Predictive Analytics: 8 Things to Keep in Mind (Part 7)
Free Forrester Research on Future of BI
2020: US Banks Are Betting Big on Analytics

There are also
dangers with being too spoke-centric (with data marts or cubes) and
failing to establish the hub, or data warehouse (DW), as the enterprise
data backbone.

>>> Read the rest of my article "Too Narrowly Focused" on the DM Review website.


Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data security issues with annotation outsourcing
Data Annotation Outsourcing and Risk Mitigation Strategies
Big Data Exclusive Security
NO-CODE
Breaking down SPARC Emulation Technology: Zero Code Re-write
Exclusive News Software
online business using analytics
Why Some Businesses Seem to Win Online Without Ever Feeling Like They Are Trying
Exclusive News
edi compliance with AI
AI Is Transforming EDI Compliance Services
Exclusive News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

First Take: Oracle Acquires Inquira

2 Min Read

Best Value BI Trends: BI Embedded into Business Processes and Decision Making

5 Min Read

Crossing the Language Chasm: Extracting Information from Foreign-Language Text

6 Min Read
business intelligence for digital marketing
Business IntelligenceMarket ResearchMarketing

Boost Your Digital Marketing with Business Intelligence

10 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?