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
    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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Why XML is incompatible with big data
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 Mining > Why XML is incompatible with big data
Data Mining

Why XML is incompatible with big data

DavidMSmith
DavidMSmith
2 Min Read
SHARE

Mike Driscoll lays out his misadventures using XML for managing large amounts of data: it’s too verbose and slows down translation operations, and despite the goals of the XML standard, tags are opaque and cumbersome for humans to deal with. He concludes that there must be a better way: the simple, delimited text files we’ve been using since the fifties. He offers an analogy with LaTeX and MathML:

Spoken languages are strengthened by usage, not by imperial fiat, and data formats are no different. Far better to evolve and adapt the standards we already have (as JSON and SQLite’s file format do), than to fabricate new ones from whole cloth.

XML offers some nice advantages for interoperability when managing “human-sized” documents, but when it comes to truly large datasets I have to agree these benefits are outweighed by the overheads detailed in Mike’s article.

Dataspora Blog: How XML Threatens Big Data

Link to original post

More Read

Forecast Product Demand with Confidence
As the planet heats up, so do regulatory mandates to reduce…
Interview: Dr Graham Williams
Welcome to the Decision Support Channel for the Business…
Why Human Resource Should Care About Big Data

Mike Driscoll lays out his misadventures using XML for managing large amounts of data: it’s too verbose and slows down translation operations, and despite the goals of the XML standard, tags are opaque and cumbersome for humans to deal with. He concludes that there must be a better way: the simple, delimited text files we’ve been using since the fifties. He offers an analogy with LaTeX and MathML:

Spoken languages are strengthened by usage, not by imperial fiat, and
data formats are no different. Far better to evolve and adapt the
standards we already have (as JSON and SQLite’s file format do), than
to fabricate new ones from whole cloth.

XML offers some nice advantages for interoperability when managing “human-sized” documents, but when it comes to truly large datasets I have to agree these benefits are outweighed by the overheads detailed in Mike’s article.

Dataspora Blog: How XML Threatens Big Data

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How a highly-variable point estimate becomes a headline

1 Min Read

Business Analytics & Optimization Leaders

1 Min Read

Igniting the New Intelligence

0 Min Read

Why I Donate to Wikipedia

3 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?