Databases, Data Warehousing, and Data Analytics

Michael Eble () and Julian M. Hoch ()
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Michael Eble: mm1 Consulting and Management PartG
Julian M. Hoch: mm1 Consulting and Management PartG

A chapter in Handbook of Media and Communication Economics, 2024, pp 343-356 from Springer

Abstract: Abstract The ongoing and rapid transformation of their markets presents media companies with the challenge of further digitizing and sustainably adapting business models. For this purpose, a broad technology stack for aggregating, storing, and analyzing big data is gaining importance: By means of the big data value chain, polystructured and multimodal data are combined with each other, and analytical insights are obtained in batch and real-time processing. For this purpose, different database systems as well as methods for data analysis (text mining, audio mining, and video mining) are combined in a generic lambda architecture. This makes it possible to leverage potential benefits in the production and distribution of media content, as the chapter outlines using the examples of the Deutsche Presse-Agentur (dpa)/Deutsche Welle (DW) and Netflix.

Keywords: Big data; Multimodal data; Polystructured data; Data analytics; Lambda architecture; Production; Distribution; Digital media; Online media (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-658-39909-2_16

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