Ecole d'ingénieur et centre de recherche en Sciences du numérique

Cheap data analytics on cold storage

Appuswamy, Raja

Book Chapter in "Encyclopedia of Big Data Technologies", Editors: Sherif Sakr; Zomaya, Albert; Springer

Driven the promise of analytics, enterprises have started accumulating vast amounts of data with the goal of deriving actionable insights. However, not all data stored is accessed uniformly. Recent studies predict that as much as 80% of enterprise data is cold and that cold data is the fastest-growing segment of enterprise data with a 60% cumulative annual growth rate. This rapid proliferation of cold data has in turn driven the demand for new cold storage infrastructures that can reduce the cost of data storage while providing in-line access to data for running batch analytic workflows. This chapter surveys recent trends in both the hardware and software landscape that enables cheap data analytics over such cold storage infrastructures.

Doi Bibtex

Titre:Cheap data analytics on cold storage
Type:Ouvrage
Langue:English
Ville:
Date:
Département:Data Science
Eurecom ref:5490
Copyright: © Springer. Personal use of this material is permitted. The definitive version of this paper was published in Book Chapter in "Encyclopedia of Big Data Technologies", Editors: Sherif Sakr; Zomaya, Albert; Springer and is available at : http://doi.org/10.1007/978-3-319-63962-8_147-1
Bibtex: @book{EURECOM+5490, doi = {http://doi.org/10.1007/978-3-319-63962-8_147-1}, year = {2018}, title = {{C}heap data analytics on cold storage}, author = {{A}ppuswamy, {R}aja}, publisher = {{B}ook {C}hapter in "{E}ncyclopedia of {B}ig {D}ata {T}echnologies", {E}ditors: {S}herif {S}akr; {Z}omaya, {A}lbert; {S}pringer}, month = {02}, url = {http://www.eurecom.fr/publication/5490} }
Voir aussi: