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Breaking the chains: on declarative analysis and independence in the big data era

dc.contributor.authorMarkl, Volker
dc.contributor.editorPlödereder, E.
dc.contributor.editorGrunske, L.
dc.contributor.editorSchneider, E.
dc.contributor.editorUll, D.
dc.date.accessioned2017-07-26T11:01:05Z
dc.date.available2017-07-26T11:01:05Z
dc.date.issued2014
dc.description.abstractData management research, systems, and technologies have drastically improved the availability of data analysis capabilities, particularly for non-experts, due in part to low-entry barriers and reduced ownership costs (e.g., for data management infrastructures and applications). Major reasons for the widespread success of database systems and today's multi-billion dollar data management market include data independence, separating physical representation and storage from the actual information, and declarative languages, separating the program specification from its intended execution environment. In contrast, today's big data solutions do not offer data independence and declarative specification. As a result, big data technologies are mostly employed in newly-established companies with IT-savvy employees or in large well-established companies with big IT departments. We argue that current big data solutions will continue to fall short of widespread adoption, due to usability problems, despite the fact that in-situ data analytics technologies achieve a good degree of schema independence. In particular, we consider the lack of a declarative specification to be a major roadblock, contributing to the scarcity in available data scientists available and limiting the application of big data to the IT-savvy industries. In particular, data scientists currently have to spend a lot of time on tuning their data analysis programs for specific data characteristics and a specific execution environment.en
dc.identifier.isbn978-3-88579-626-8
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-232
dc.titleBreaking the chains: on declarative analysis and independence in the big data eraen
dc.typeText/Conference Paper
gi.citation.endPage720
gi.citation.publisherPlaceBonn
gi.citation.startPage719
gi.conference.date22.-26. September 2014
gi.conference.locationStuttgart

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