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Exascale Computing and Big Data: Time To Reunite
From BLOG@CACM

Exascale Computing and Big Data: Time To Reunite

It is past time to reunite the big data, cloud, and high-performance computing communities. Each can each learn much from the other.

Lessons from Winnie the Pooh: Sustainable Cyberinfrastructure
From BLOG@CACM

Lessons from Winnie the Pooh: Sustainable Cyberinfrastructure

The longitudinal value of research data often accrues to disciplines other than those where it was created. We need a new model that judiciously balances investment...

The Frontier of Small Data
From BLOG@CACM

The Frontier of Small Data

 A quick view of Deborah Estrin's small data work.

Are Data Miners Ready to Hang ­p the Hard Hat and Put on a Lab Coat?
From BLOG@CACM

Are Data Miners Ready to Hang ­p the Hard Hat and Put on a Lab Coat?

We will find out this week at the annual ACM SIGKDD on Knowledge Discovery and Data Mining conference in Chicago.

What Does 'Big Data' Mean (Part 4)?
From BLOG@CACM

What Does 'Big Data' Mean (Part 4)?

The "big variety" use case is examined, in this fourth post in a series on big data.

What Does 'Big Data' Mean? (Part 3)
From BLOG@CACM

What Does 'Big Data' Mean? (Part 3)

The "big velocity" use case is examined in this third post in a series on big data.

Exciting 'Big Data' Medical Applications
From BLOG@CACM

Exciting 'Big Data' Medical Applications

A quick look at two exciting medical applications of big data analysis.

HPC, Big Data and the Peloponnesian War
From BLOG@CACM

HPC, Big Data and the Peloponnesian War

We need a concord and strategic research investment plan that recognizes the shared importance of HPC and big data. Both warrant investments in basic research,...

What Does 'Big Data' Mean? (Part 2)
From BLOG@CACM

What Does 'Big Data' Mean? (Part 2)

In this second post on big data, I continue with a discussion of the use case of big volume-big analytics. 

What Does 'Big Data' Mean?
From BLOG@CACM

What Does 'Big Data' Mean?

It is interesting to note that a substantial subset of the computer science community has redefined their research agenda to fit under the marketing banner of "Big...

Data Mining Product Reviews
From BLOG@CACM

Data Mining Product Reviews

When it comes to big data, one of the greatest things we can do as computer scientists creating products is to distill all the information down to what is important...

Data Mining the Web Via Crawling
From BLOG@CACM

Data Mining the Web Via Crawling

This post focuses on the data collection via crawling the web, by covering some of the challenges around collecting and discovering new content via a web crawler...

My Scientific Big Data Are Lonely
From BLOG@CACM

My Scientific Big Data Are Lonely

Although there are daunting technical challenges posed by big data in science and engineering, the social and economic challenges are just as difficult, though...

Possible Hadoop Trajectories
From BLOG@CACM

Possible Hadoop Trajectories

Hadoop has spread rapidly in the last few years as a platform for parallel computation in Java, but we believe a lot of improvement will be required for serious...

Research Data Sustainability and Access
From BLOG@CACM

Research Data Sustainability and Access

The dramatic growth of research data, the collaborative nature of international research, expectations for economic returns, and disciplinary differences all make...

New SQL: An Alternative to NoSQL and Old SQL For New OLTP Apps
From BLOG@CACM

New SQL: An Alternative to NoSQL and Old SQL For New OLTP Apps

New SQL should be considered as an alternative to NoSQL or Old SQL for New OLTP applications. If New OLTP is as big a market as I foresee, we will see many more...

Research Directions For Machine Learning and Algorithms
From BLOG@CACM

Research Directions For Machine Learning and Algorithms

An in-depth discussion of near-term research directions for machine learning and algorithms.

Information Privacy: Changing Norms and Expectations
From BLOG@CACM

Information Privacy: Changing Norms and Expectations

That picture of you at a family reunion, squinting into the sun, can rarely be delimited by a physical location once it is placed on the web. Instead, information...

Embracing Noise or Why Computer Scientists Should Stop Worrying and Learn to Love the Errors
From BLOG@CACM

Embracing Noise or Why Computer Scientists Should Stop Worrying and Learn to Love the Errors

Precision is not required in everything or even most things.  Failures are best handled by expecting them all the time, not treating them as exceptions.  We should...

Intellectual Amplification via Computing
From BLOG@CACM

Intellectual Amplification via Computing

As the recent performance of IBM's Watson system on the game show Jeopardy! illustrated, the combination of large-scale data, rich algorithm suites and powerful...
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