Big Data and Science: Myths and Reality

Big Data Research

Volumn 2, Issue 2, 2015, Pages 49-52

  Jagadish, H V ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MYTH AND REALITY;

BIG DATA;

EID: 84929224098     PISSN: None     EISSN: 22145796     Source Type: Journal    
DOI: 10.1016/j.bdr.2015.01.005     Document Type: Review

References (9)

1. Challenges and opportunities with Big Data a community white paper available at. http://cra.org/ccc/docs/init/bigdatawhitepaper.pdf.
2. Jagadish H.V., Gehrke Johannes, Labrinidis Alexandros, Papakonstantinou Yannis, Patel Jignesh M., Ramakrishnan Raghu, Shahabi Cyrus Big data and its technical challenges. Commun. ACM July 2014, 57(7):86-94. 10.1145/2611567.
3. Advancing Discovery in Science Spring 2011, Engineering Computing Community Consortium.
4. Frontiers in Massive Data Analysis 2013, National Academies Press.
5. Pattern-Based Strategy: getting value from Big Data Gartner Group press release, available at. http://www.gartner.com/it/page.jsp?id=1731916.
6. The 4 V's of Big Data http://www.ibmbigdatahub.com/tag/587.
7. Kahn Scott D. On the future of genomic data. Science February 2011, 11:728-729.
8. Establishing a National Consortium for Data Science available at. http://data2discovery.org/dev/wp-content/uploads/2012/09/NCDS-Consortium-Roadmap_July.pdf.
9. SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems available at. http://www.sdss3.org/collaboration/description.pdf.