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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data Design Matters
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 Quality > Data Design Matters
Data QualityModeling

Data Design Matters

boblambert12
boblambert12
3 Min Read
SHARE

OrderModelAs important as it is, data modeling has always had a geeky, faintly impractical tinge to some. I’ve seen application development projects proceed with a suboptimal, “good enough”, model.

OrderModelAs important as it is, data modeling has always had a geeky, faintly impractical tinge to some. I’ve seen application development projects proceed with a suboptimal, “good enough”, model. The resulting systems might otherwise be well-architected, but sometimes strange vulnerabilities emerge that track directly to data design flaws.

Recently I saw an example where a “good enough” data design, similar to the one pictured, enabled a significant application bug.

My fictionalized model illustrates this case’s anti-pattern. Say there’s an order management system tracking Orders, Order Lines, and “Order Line Events”, customer transactions involving an order item. The Order Line table includes a foreign key to the Order table. The Order Line Event table includes foreign keys to both the Order Line and the Order.

More Read

Sense and Respond and the New Way of Selling
Emotion Reading Technology Matures
How Data Became Big
Klout CEO Gets Sauteed at LeWeb London
Why Data Isn’t The Only Factor Guiding Your Management Decisions

The latter relationship from Order Line Event to Order is logically unnecessary. Each Order line is related to exactly one Order, so if an Order Line Event relates to an Order Line it must also relate to a specific order.

Beyond being unnecessary, in this case the extra relationship turned out to be harmful. Somehow the online system had a bug that updated an Event’s relationship to a different Order than the related Order Lines. So a single Order Line Event could be related to two separate Orders, one through the Order Line and the other directly through the Changes/Changed By relationship.

In the real example there were some specific impacts that I won’t go into, but you can imagine the possibilities. Here are just three:

    • Customer service representatives addressing customer complaints have invalid records of negative events
    • Customer contact reporting and analysis is skewed

OrderModel2

  • Processes that purge old records may be unable to delete orders with mismatched foreign keys. Say you want to delete all data for Order 1. If an Order Line Event relates to both Order 1 and Order 2, the foreign key to Order 2 prevents delete of the Event unless Order 2 is also being deleted.

So, a database design that seems imperfect but “good enough” in fact isn’t. In this case it would have been well worth taking extra time during design to prevent the chance of subtle but significant errors in the application.

TAGGED:data design
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data modeling
Best PracticesBig DataCRMData ManagementITPolicy and Governance

Data Design Is Not Optional

4 Min Read

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

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?