Data Mesh - A Case Study Perspective on Building Industrial Data Platforms
Type
conference paper
Date Issued
2024-04
Author(s)
Kernstock, Philipp
;
Biermann, Konstantin
;
Sartor, Sebastian
;
Wimbauer, Anna
;
Bohnet, Julian
;
Böttcher, Timo
;
Abstract
In an era where data is the new currency, organizations are contending to harness vast data influxes for data-driven innovation. Centralized data architectures, with extensive data warehouses and lakes, are buckling under the pressure of contextually complex and distributed demands, leading to data bottlenecks and alignment issues within organizational structures. Data Mesh emerges as a decentralized paradigm promising to surmount these hurdles by advocating domain ownership and federated governance. This research delves into the practicalities of Data Mesh through a case study of Alpha, a German manufacturing firm, revealing a transformative shift towards a data-driven modus operandi. It details Alpha's journey from siloed data storage to a unified, transparent data platform that repositions IT as an innovation linchpin. Bridging the theoretical and practical, the paper underscores Data Mesh's potential to amalgamate decentralized data ownership with central oversight, offering a roadmap for organizations to navigate the data-centric future effectively.
Language
English (United States)
Keywords
Data Management
Data Mesh
Data Platform
Data-Driven Innovation
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
European Conference on Information Systems
Event Location
Paphos, Cyprus
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
Kernstock et al._2024 ECIS.pdf
Size
480.92 KB
Format
Adobe PDF
Checksum (MD5)
169b33d10d6ff22e836b090158a105ad