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Auflistung nach Schlagwort "BigData"

1 - 3 von 3
  • Konferenzbeitrag
    Preserving Recomputability of Results from Big Data Transformation Workflows
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband, 2017) Kricke, Matthias; Grimmer, Martin; Schmeißer, Michael
    The ability to recompute results from raw data at any time is important for data-driven companies to ensure data stability and to selectively incorporate new data into an already delivered data product. When external systems are used or data changes over time this becomes even more challenging. In this paper, we propose a system architecture which ensures recomputability of results from big data transformation workflows on internal and external systems by using distributed key-value data stores.
  • Zeitschriftenartikel
    Preserving Recomputability of Results from Big Data Transformation Workflows
    (Datenbank-Spektrum: Vol. 17, No. 3, 2017) Kricke, Matthias; Grimmer, Martin; Schmeißer, Michael
    The ability to recompute results from raw data at any time is important for data-driven companies to ensure data stability and to selectively incorporate new data into an already delivered data product. However, data transformation processes are heterogeneous and it is possible that manual work of domain experts is part of the process to create a deliverable data product. Domain experts and their work are expensive and time consuming, a recomputation process needs the ability of automatically adding former human interactions. It becomes even more challenging when external systems are used or data changes over time. In this paper, we propose a system architecture which ensures recomputability of results from big data transformation workflows on internal and external systems by using distributed key-value data stores. Furthermore, the system architecture will contain the possibility of incorporating human interactions of former data transformation processes. We will describe how our approach significantly relieves external systems and at the same time increases the performance of the big data transformation workflows.
  • Konferenzbeitrag
    Visual Analytics für haptische Datenanalyse im industriellen Umfeld von Big Data
    (Mensch und Computer 2017 - Workshopband, 2017) Schöler-Niewiera, Florian; Meiller, Dieter
    Die Arbeiten sollen zeigen, dass neuartige Benutzerkonzepte mit Visual Analytics für die Auswertung von digitalen Prozessdaten auf innovative Art kombiniert werden können, um Industriedaten zu analysieren und auszuwerten. Besonderes Augenmerk soll hierbei auf eine einfache Anwendung über ein haptisches Tangible-System gelegt werden, welches dem Nutzer die Datenanalyse „begreifbar“ machen soll.