A Systematic Review of Data Management Platforms

Boch, Michael; Gindl, Stefan; Barnett, Alan; Margetis, George; Mireles, Victor; Adamakis, Emmanouil; Knoth, Petr

doi:10.1007/978-3-031-04819-7_2

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…If the DC runs in a different environment than the data sources, socalled metadata harvesters can be used to collect and transfer metadata to the main component. DCs integrate with further data management tools that may be part of a data management platform [4], enterprise systems, or DCs to leverage their specialized capabilities and enable enterprisewide metadata management. Integration with business intelligence and data analysis tools allows metadata to be provided for model creation and analytical models to be listed in the DC to describe data usage.…”

Section: Data Catalogsmentioning

confidence: 99%

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Data Catalogs in the Enterprise: Applications and Integration

Jahnke,

Otto

2023

Datenbank Spektrum

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Despite investing heavily in data-related technology and human resources, enterprises are still struggling to derive value from data. To foster data value creation and move toward a data-driven enterprise, adequate data management and data governance practices are fundamental. To support these practices, organizations are building (meta)data management landscapes by combining different tools. Data catalogs are a central part of these landscapes as they enable an overview of available data assets and their characteristics. To deliver their highest value, data catalogs need to be integrated with existing data sources and other data management tools. However, enterprises struggle with data catalog integration because (a) not all data catalog application types foster enterprise-wide data management and data governance alike, and (b) several technical characteristics of data catalog integration remain unclear. These include the supported data sources, data catalog federation, and ways to provision data access. To tackle these challenges, this paper first develops a typology of data catalog applications in the enterprise context. Based on a review of the academic literature and an analysis of data catalog offerings, it identifies four enterprise-internal and three cross-enterprise classes of data catalog applications. Second, an in-depth analysis of 51 data catalog offerings that foster enterprise-wide metadata management examines key characteristics of the technical integration of data catalogs.

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Section: Data Catalogsmentioning

confidence: 99%

“…Enterprise Data Management Platforms (EDMPs) support the management, storage, and distribution of data assets in the enterprise [4]. They are not tied to a specific context or use case.…”

Section: A Typology Of Data Catalog Applicationsmentioning

confidence: 99%