Data Science links
02/29/2012 -
“For the last 20 years everything in IT has revolved around structured data in a traditional, transactional database,” he said. That model was changing. He said Big Data was fundamentally different in four ways:
1.It’s a rich data model, it contains both structured and unstructured data, so it could be things like video, or Twitter feeds, as well as structured data.
2.The size is big—no longer terabytes but petabytes of data. And it is multisource data.
3.It is real time. “If my Google search took me to Monday morning to do, I wouldn’t do very many of them.”
4.It is collaborative. Many people will be working on it at the same time.
01/12/2012 - http://www.datasciencecentral.com/profiles/blogs/5-big-data-startups-that-matter-platfora-datastax-visual-ly-domo-
01/11/2012 - http://radar.oreilly.com/2012/01/what-is-big-data.html - overview of Big Data
01/06/2012 - Python, Perl, BASH and AWK
01/03/2012 - http://www.forbes.com/sites/ciocentral/2011/12/22/top-holiday-gifts-for-data-scientists/ - books
01/02/2012 - http://www.information-management.com/blogs/-10021703-1.html
01/01/2012 - Data analytics requires knowledge in multiple fields. For instance, a math major might need some familiarity with social sciences such as sociology, psychology, or biology. And candidates with degrees in the social sciences often lack sufficient math training.
10/26/2011 - Skills - Python, SQL, Hadoop, Hive, and Map/Reduce paradigms
10/13/2011 - http://www.amazon.com/Teach-yourself-Data-Science/lm/R1FH6RJQCY7U1A - Teach yourself data science (book list)
10/13/2011 - The topics covered will include (a subset of):
- Data analytics and “Big Data”
- Machine learning and scalability
- Business analytics including online marketing and advertising, financial services and risk analytics, operational and service analytics
- Information retrieval (search)
- Information extraction
- Social networks and social media
- Healthcare analytics
- Energy analytics
10/13/2011 - http://siliconangle.com/blog/2011/10/10/abstracting-data-science-for-the-every-day-user/ - big data blog
10/13/2011 - http://www.forbes.com/sites/danwoods/2011/10/11/emc-greenplums-steven-hillion-on-what-is-a-data-scientist/ - data science article (Forbes)
10/13/2011 - http://chart.io/blog/2011/10/06/data-science-according-to-linkedins-monica-rogati/ - data scientist skills
10/13/2011 - http://www.informationweek.com/thebrainyard/news/strategy/231900611/web-20-expo-linkedins-big-data-lessons-learned - data jujitsu, data vomit
10/13/2011 - http://christopher-berry.blogspot.com/2011/10/fight-for-data-science-soul-begins.html - Eye on Analytics (blog)
10/06/2011 - http;//talkminer.net/viewtalk.jsp?videoid=98NrsLE6ot4&q=#0
10/06/2011 - http://blog.programmableweb.com/2011/10/03/bring-your-data-smarts-where-theyre-needed-most/ - Data Without Borders
09/26/2011- http://www.bio-itworld.com/2011/09/23/big-data-bgi-gigascience.html - GigaScience Journal
09/21/2011 - http://mattbriney.com/2011/08/geocoding-using-google-refine-and-data-science-toolkit/ - Google Refine & Data Science Toolkit
09/21/2011 - http://radar.oreilly.com/2011/09/building-data-science-teams.html
09/21/2011 - http://radar.oreilly.com/2011/09/buzzdata-data-community.html - BuzzData
09/21/2011 - http://www.marketwire.com/press-release/sailthru-announces-8-million-venture-funding-fuel-expansion-e-commerce-flash-sale-publisher-1563283.htm - SailThru
09/21/2011 - http://blogs.perficient.com/businessintelligence/tag/data-science/ - dream job of the future?
09/21/2011 - http://strataconf.com/public/content/landing?_discount=adw&cmp=kn-conf-st11-starta-terms - Strata 2011
09/21/2011 - http://37signals.com/svn/posts/3002-the-three-secrets-of-business-analytics-no-rocket-science-here?1
09/21/2011 - http://www.businessinsider.com/the-big-data-conundrum-2011-9 - Platfora
09/21/2011 - http://gigaom.com/cloud/platfora-gets-5-7m-to-make-hadoop-mainstream/?utm_source=broadband&utm_medium=specialtopics - Platfora/Hadoop
09/21/2011 - http://www.readwriteweb.com/hack/2011/09/unlocking-big-data-with-r.php - R
09/21/2011 - http://www.r-bloggers.com/fortune-data-science-is-the-hot-new-job/ - R blogs
09/21/2011 - http://www.marketwatch.com/story/claudia-perlich-m6d-chief-scientist-wins-prestigious-kdd-award-2011-09-07 m6d & Claudia Perlich
09/21/2011 - http://blogs.bluekai.com/tag/data-science/ - good overview of Data Science
08/11/2011 -
http://www.ourglocal.com/event/?eventid=13632
Call For Papers - CFP
We solicit original unpublished research and technical papers that demonstrate contemporary research in all areas of Data Science and Engineering. All registered accepted papers will be contemporary in IEEE Xplore . For submission of papers, IEEE guidelines are to be followed. Suggested content areas include but are not limited to:
Algorithms for large data sets
Business Intelligence
Cluster, Cloud, and Grid Computing
Crowd Sourcing & Social Intelligence
Computational Biology & Bioinformatics
Data-Centric Programming
Data Modelling & Semantic Engineering
Data, text and web mining & visualization
Interoperability and Data Integration using open standards
High performance Scientific/ Engineering/Commercial Applications
Infoscience and Computational Informatics
Information Discovery and Query Processing
Information Network Analysis
Domain-Specific Data Management
Knowledge based Software Engineering
Knowledge Engineering
Machine Learning for Natural Language Computing
Management of Very Large Data System
Peer-to-peer Algorithms and Networks
Statistical Computing
Web Engineering
Paper Submissions will be reviewed and evaluated based on originality, technical quality and relevance to conference
The rapid development of computer science and information technology in the last couple of decades has generated massive amount of data and fundamentally changed every field in science and engineering. Many disciplines are now rich in data and tend to adopt data science or data-intensive engineering methodologies to do research and development. Scientific approach to process data involving the engineering aspects as well, would lead to major strides in the domains of data, information and knowledge which contribute to the evolving knowledge society. This conference is intended to take stock of the trends and developments in the globally competititve environment as well as to provide indicators for future directions to researchers and practitioners
07/13/2011 - http://www.fastcodesign.com/1664432/fineo-makes-beautiful-flow-diagrams-out-of-anything-you-throw-at-it
07/08/2011 - http://fellinlovewithdata.com/reflections/killer-questions
07/08/2011 - http://opani.com/
07/08/2011 - http://www.science3point0.com/closingtabs/
07/07/2011 - http://datascientistjob.com/data-scientist-info/an-insight-into-data-science/
06/27/2011 - http://radar.oreilly.com/2011/06/getting-started-with-hadoop.html
05/24/2011 - http://www.quora.com/Educational-Resources/How-do-I-become-a-data-scientist
05/20/2011 - http://www.r-bloggers.com/mapping-locations-in-r-with-the-data-science-toolkit/
05/17/2011 - http://www.greenplum.com/
05/17/2011 - http://blog.revolutionanalytics.com/data-science/
05/17/2011 - http://www.datasciencetoolkit.org/
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The art of data science is gathering the data, finding the trends and information that can be beneficial to your company, performing statistical research and wrapping everything into creative ideas or platforms for your business to use. As technology and Internet platforms advance, the amount of data out there is only going to continue to grow.
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