| Record ID | harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:185674897:1734 |
| Source | harvard_bibliographic_metadata |
| Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.13.20150123.full.mrc:185674897:1734?format=raw |
LEADER: 01734nam a2200241Ia 4500
001 013155962-1
005 20120418020923.0
008 120118s2011 xx b 000 0 eng d
035 0 $aocn773204717
040 $aUMI$cUMI$dMH
090 $aQA76.9.D343$bD345 2011
245 00 $aData bibliography /$ccompiled by the Safari Books Online content team.
246 14 $aBig data bibliography
260 $a[S.l.] :$bSafari Books Online,$cc2011.
300 $a1 online resource (ix, 115 p.)
500 $a"The top technical resources on big data"--Cover.
520 $a"The exponentially decreasing costs of data storage combined with the soaring volume of data being captured presents challenges and opportunities to those who work in the new frontiers of data science. Businesses, government agencies, and scientists leveraging data-based decisions are more successful than those relying on decades of trial-and-error. But taming and harnessing big data can be a herculean undertaking. The data must be collected, processed and distilled, analyzed, and presented in a manner humans can understand. Because there are no degrees in data science, data scientists must grow into their roles. If you are looking for resources to help you better understand big data and analytics, this is your guide. Tap into books and videos that cover everything from business intelligence to data mining and machine learning, to cloud services and NoSql Data Stores to data visualization."--Resource description page.
504 $aIncludes bibliographical references.
650 0 $aData mining$vBibliography$vCatalogs.
650 0 $aQuerying (Computer science)$vBibliography$vCatalogs.
710 2 $aSafari Books Online (Firm)
988 $a20120418
906 $0OCLC