Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Daniel Liwei Wang"'
Publikováno v:
Data Science Journal, Vol 12, Pp 23-32 (2013)
Petascale data management and analysis remain one of the main unresolved challenges in today's computing. The 6th Extremely Large Databases workshop was convened alongside the XLDB conference to discuss the challenges in the health care, biology, and
Externí odkaz:
https://doaj.org/article/430d5583c9fc49d695ca1b25be49a565
Publikováno v:
Data Science Journal, Vol 11, Pp 37-45 (2012)
The 5th XLDB workshop brought together scientific and industrial users, developers, and researchers of extremely large data and focused on emerging challenges in the healthcare and genomics communities, spreadsheet-based large scale analysis, and cha
Externí odkaz:
https://doaj.org/article/7a891b1a897642dcafdfffb5d676240a
Publikováno v:
Data Science Journal, Vol 9 (2011)
Academic and industrial users are increasingly facing the challenge of petabytes of data, but managing and analyzing such large data sets still remains a daunting task. The 4th Extremely Large Databases workshop was organized to examine the needs of
Externí odkaz:
https://doaj.org/article/068f34147a7b4866bc8aae1443f2216e
Publikováno v:
Data Science Journal, Vol 8 (2010)
Academic and industrial users are increasingly facing the challenge of petabytes of data, but managing and analyzing such large data sets still remains a daunting task. Both the database and the map/reduce communities worldwide are working on address
Externí odkaz:
https://doaj.org/article/3bcb09376e8949fc91349d68906d9dc0
Publikováno v:
Data Science Journal; Vol 12 (2013); 23-32
Data Science Journal, Vol 12, Pp 23-32 (2013)
Data Science Journal, Vol 12, Pp 23-32 (2013)
Industrial and scientific datasets have been growing enormously in size and complexity in recent years. The largest transactional databases and data warehouses can no longer be hosted cost-effectively in off-the-shelf commercial database management s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b5aca15aebd154d8a802ef859c199aa
https://datascience.codata.org/jms/article/view/dsj.12_023
https://datascience.codata.org/jms/article/view/dsj.12_023