Comments on: The Data-Centric Gambit http://www.cccblog.org/2008/10/20/the-data-centric-gambit/ The Computing Community Consortium Tue, 02 Mar 2010 18:21:20 +0000 http://wordpress.org/?v=2.9.1 hourly 1 By: MapReduce-scale analytics change BI game as enterprises need to mine ever-expanding data sets - Dana Gardner's BriefingsDirect http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-407 MapReduce-scale analytics change BI game as enterprises need to mine ever-expanding data sets - Dana Gardner's BriefingsDirect Tue, 16 Dec 2008 17:29:18 +0000 http://www.cccblog.org/?p=25#comment-407 [...] provide an in-depth look at how parallelism, modern data infrastructure, and MapReduce technologies come together in the new age, BriefingsDirect’s Dana Gardner [...] [...] provide an in-depth look at how parallelism, modern data infrastructure, and MapReduce technologies come together in the new age, BriefingsDirect’s Dana Gardner [...]

]]> By: Dana Gardner’s BriefingsDirect mobile edition http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-406 Dana Gardner’s BriefingsDirect mobile edition Tue, 16 Dec 2008 17:23:07 +0000 http://www.cccblog.org/?p=25#comment-406 [...] rapidly, even though we have harsh economic times. To provide an in-depth look at how parallelism, modern data infrastructure, and MapReduce technologies come together in the new age, BriefingsDirect's Dana Gardner recently [...] [...] rapidly, even though we have harsh economic times. To provide an in-depth look at how parallelism, modern data infrastructure, and MapReduce technologies come together in the new age, BriefingsDirect’s Dana Gardner recently [...]

]]> By: Cognizant Transmutaion » The Commoditization of Massive Data Analysis http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-311 Cognizant Transmutaion » The Commoditization of Massive Data Analysis Thu, 20 Nov 2008 09:42:53 +0000 http://www.cccblog.org/?p=25#comment-311 [...] calls all of this a renaissance in computer science research and calls for folks to look towards standardizing the upper layers of the Hadoop hierarchy, [...] [...] calls all of this a renaissance in computer science research and calls for folks to look towards standardizing the upper layers of the Hadoop hierarchy, [...]

]]> By: 2 Blog ~ 2 Belong « Data Beta http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-248 2 Blog ~ 2 Belong « Data Beta Fri, 07 Nov 2008 05:29:45 +0000 http://www.cccblog.org/?p=25#comment-248 [...] to guest blog at CCCBlog and [...] [...] to guest blog at CCCBlog and [...]

]]> By: … BLOG ~ BeLOG ~ Belong … « Data Snacks http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-211 … BLOG ~ BeLOG ~ Belong … « Data Snacks Thu, 30 Oct 2008 10:05:16 +0000 http://www.cccblog.org/?p=25#comment-211 [...] to guest blog at CCCBlog and [...] [...] to guest blog at CCCBlog and [...]

]]> By: … BLOG ~ BeLOG ~ Belong … « Data Cronopio http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-210 … BLOG ~ BeLOG ~ Belong … « Data Cronopio Wed, 29 Oct 2008 08:24:54 +0000 http://www.cccblog.org/?p=25#comment-210 [...] to guest blog at CCCBlog and [...] [...] to guest blog at CCCBlog and [...]

]]> By: Jean Richard http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-201 Jean Richard Thu, 23 Oct 2008 11:40:13 +0000 http://www.cccblog.org/?p=25#comment-201 Since the dawn of humanity (pardon the cliché), r&d have accelerated. Most people assume it goes by a geometric progression from now on instead of continuing as a square law. Curiuosly, Moore's law of computing devices say the computers will double power every 12 or 15 or 18 months. This is the square law. Computer evolution is only a way to mesure it. The real challenge of 40 years ago was to be able to cope with greater amount of data with the same brain we used 10,000 years ago. The Computer helped us there but the actual problem is to be able to find significant data in all this. The answers are partly there with data mining tools, data warehouse, etc. The next problem is to be able to make the next generation of tools for us to be able to develop... new tools. We have new more complex computers but we lack the tool to do the fundamental objective of computing science; adapting these tools to human beings. The problem is even more interresting since it was for computer scientist to adapt the system for users. It's become adapting the system for ourselves so we can adapt it to users. Interresting future ahead... Since the dawn of humanity (pardon the cliché), r&d have accelerated. Most people assume it goes by a geometric progression from now on instead of continuing as a square law. Curiuosly, Moore’s law of computing devices say the computers will double power every 12 or 15 or 18 months. This is the square law. Computer evolution is only a way to mesure it.

The real challenge of 40 years ago was to be able to cope with greater amount of data with the same brain we used 10,000 years ago. The Computer helped us there but the actual problem is to be able to find significant data in all this. The answers are partly there with data mining tools, data warehouse, etc. The next problem is to be able to make the next generation of tools for us to be able to develop… new tools. We have new more complex computers but we lack the tool to do the fundamental objective of computing science; adapting these tools to human beings. The problem is even more interresting since it was for computer scientist to adapt the system for users. It’s become adapting the system for ourselves so we can adapt it to users.

Interresting future ahead…

]]> By: Pedro Domingos http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-189 Pedro Domingos Tue, 21 Oct 2008 21:52:51 +0000 http://www.cccblog.org/?p=25#comment-189 It gets better. When you couple a declarative language with machine learning from data, the compactness of your programs improves again by orders of magnitude, because you only have to specify the basic structure of the program, and you can let the rest of it "grow" from the data. We've developed a language called Markov logic that's a probabilistic extension of Datalog for this, and a series of learning and inference algorithms for it that are available in the open-source Alchemy package (http://alchemy.cs.washington.edu). Alchemy has been used with spectacular success on a number of very hard problems. For example, we can build a complete information extraction system with an Alchemy program that fits on a single slide. It gets better. When you couple a declarative language with machine learning from data, the compactness of your programs improves again by orders of magnitude, because you only have to specify the basic structure of the program, and you can let the rest of it “grow” from the data. We’ve developed a language called Markov logic that’s a probabilistic extension of Datalog for this, and a series of learning and inference algorithms for it that are available in the open-source Alchemy package (http://alchemy.cs.washington.edu). Alchemy has been used with spectacular success on a number of very hard problems. For example, we can build a complete information extraction system with an Alchemy program that fits on a single slide.

]]> By: anonymous http://www.cccblog.org/2008/10/20/the-data-centric-gambit/comment-page-1/#comment-188 anonymous Tue, 21 Oct 2008 15:16:44 +0000 http://www.cccblog.org/?p=25#comment-188 Teradata actually predates Gamma and Bubba. Teradata was founded in 1979 and shipped their first commercial system in 4Q1983. Possible Gamma and Bubba research was used in later releases. Teradata actually predates Gamma and Bubba. Teradata was founded in 1979 and shipped their first commercial system in 4Q1983. Possible Gamma and Bubba research was used in later releases.

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