Category Archives: Scientific applications

Big Data Quotes of the Week

“In traditional biology research, people ask a key question, or run a trial. They make clinical and molecular measurements to address that question. They use some statistics or computation. Then they validate what they’ve found in another, more advanced trial. … Continue reading

Posted in Asking questions, Big Data Analytics, Business Impact, Challenges, Data Scientists, Enterprise, Health Care, Machine Learning, Music, Quotes, Scientific applications | Leave a comment

The Trouble with Big Data

Douglas Merrill, former CIO/VP of Engineering at Google, has issued an important warning about big data: “With too little data, you won’t be able to make any conclusions that you trust.  With loads of data you will find relationships that … Continue reading

Posted in Asking questions, Big Data Analytics, Big Data Bubble, Data Science, Data Scientists, Domain Expertise, Models, Predictive analytics, Quotes, Scientific applications | 17 Comments

Big Data Quotes of the Week

“Data Science is just a buzzword that sort of appeared recently around the idea of people who build mathematical models of data and then explain them to human beings.”                   —Hilary Mason … Continue reading

Posted in Big Data Analytics, Big Data Bubble, Data Science, Quotes, Scientific applications | 1 Comment

Data Scientists–Dairy Scientists and the Ranking of Bulls

Alexis Madrigal in The Atlantic: “Data-driven predictions are responsible for a massive transformation of America’s dairy cows. While other industries are just catching on to this whole ‘big data’ thing, the animal sciences — and dairy breeding in particular — … Continue reading

Posted in Animal Science, Big Data Analytics, Data growth, Data Scientists, Predictive analytics, Quotes, Scientific applications | Leave a comment

Future Solutions to Big Data Requirements

Two news items, the first on a cloud computing environment distributed over PCs contributing their available storage and computing capacity as a cost- and energy-efficient solution to processing an exabyte (1 billion gigabytes) a day of raw data; the second … Continue reading

Posted in Challenges, Cloud Computing, Scientific applications, Storage | Leave a comment