When can “big data” be “in-memory”?

Zusammenfassung
The monikers of “big data” and “in-memory” are certainly hyped in the database world, but some people might argue that they don't overlap. The terms are vague enough to be treated as mutually exclusive as well as mostly overlapping. In addition, “big data” often implies “data science” which means “not SQL” (based on some programmable framework like Map-Reduce, Spark, or Flink). How do we see the “in-memory” and “big data” trends for analytics evolving in the future (separately or together) and what is the role of SQL vs.
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  • BibTeX
Sedlar, E., (2015). When can “big data” be “in-memory”?. In: Seidl, T., Ritter, N., Schöning, H., Sattler, K.-U., Härder, T., Friedrich, S. & Wingerath, W. (Hrsg.), Datenbanksysteme für Business, Technologie und Web (BTW 2015). Bonn: Gesellschaft für Informatik e.V.. (S. 25-25).
@inproceedings{mci/Sedlar2015,
author = {Sedlar, Eric},
title = {When can “big data” be “in-memory”?},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2015)},
year = {2015},
editor = {Seidl, Thomas AND Ritter, Norbert AND Schöning, Harald AND Sattler, Kai-Uwe AND Härder, Theo AND Friedrich, Steffen AND Wingerath, Wolfram} ,
pages = { 25-25 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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ISBN: 978-3-88579-635-0
ISSN: 1617-5468
Datum: 2015
Sprache: en (en)
Typ: Text/Conference Paper
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