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Structure

Big Data Failures Owe More To Business Culture Than Technology

Hope springs eternal, especially in Big Data. Despite widespread failure to achieve much of anything...

Matt Asay 10 years
Structure
The Big-Data Tool Spark May Be Hotter Than Hadoop, But It Still Has Issues
Matt Asay 10 years
Work
How Open Source Can Fix 2015’s Data Entropy
Matt Asay 10 years
Work
Big Data Will Get Even Bigger In 2015
Matt Asay 10 years
Web
“Big Data Ethics” Sound Great, But They Won’t Stop The NSA—Or Facebook
Matt Asay 10 years
Work
Why The Hortonworks IPO Could Jeopardize Other Big Data Companies
Matt Asay 10 years
Structure
The Big Data Tool Hadoop Is Growing More Powerful, But Also Harder To Use
Matt Asay 10 years
Work
Big Organizations Have A Love/Hate/Love Affair With Hadoop
Matt Asay 10 years
Work
Big Data’s Fence-Sitters Are Starting To Experiment
Matt Asay 10 years
Work
Big Data May Be Hot, But The Server-Management Tool Puppet Is Hotter
Matt Asay 10 years
Cloud
Failure Is The Key To Learning From Big Data
Matt Asay 10 years
Work
Big Data’s Poster Child Has Issues—But They’re Not Slowing Hadoop Down
Matt Asay 10 years
Cloud
How Facebook Will Fuel The Next Wave Of Open Source Businesses
Matt Asay 11 years
Hack
Real-Time Data Streaming Gets Standardized
Matt Asay 11 years
Work
Why Hadoop Isn’t Killing The Data Warehouse
Matt Asay 11 years
Cloud
Cloudera Raises $900 Million, Declares War On The Data Center Old Guard
Matt Asay 11 years
Work
Why You Should Buy Only From Tech Leaders, Not Haters
Matt Asay 11 years
Cloud
Amazon And IBM vs. Open Source Hadoop: Bigness May Not Beat Quality
Matt Asay 11 years
Work
Big Data Isn’t Just For The Enterprise These Days
brian proffitt 11 years
Work
The Key For Hadoop Adoption: Learning How To Make Big Data Small
Matt Asay 11 years

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