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
    payment methods
    How Data Analytics Is Transforming eCommerce Payments
    10 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 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

Getting the other 90% of analytic adoption to happen
After the credit crunch: How much capital is enough?
Great illustration of the hierarchy of analytical BI techniques
WASTE Again!
Data Mining: Does It Get Any Better Than This?

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

payment methods
How Data Analytics Is Transforming eCommerce Payments
Analytics Big Data Exclusive
cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Big DataData MiningKnowledge Management

Challenges of Big Data in Education

5 Min Read

Privacy, Pseudonymity, and Copyright

5 Min Read

Relying on Data Can Lead to the Wrong Decisions Says CFO.com

6 Min Read

Springwise and its network of 8,000 spotters scan the globe for…

1 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
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.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?