Lisa Ehrlinger, Johannes Schrott, Martin Melichar, Nicolas Kirchmayr, Wolfram Wöß,
"Data Catalogs: A Systematic Literature Review and Guidelines to Implementation"
, in Kotsis Gabriele et al.: Database and Expert Systems Applications - DEXA 2021 Workshops, Serie Communications in Computer and Information Science, Vol. 1479, Springer International Publishing, Cham, Seite(n) 148-158, 9-2021, ISBN: 978-3-030-87101-7
Original Titel:
Data Catalogs: A Systematic Literature Review and Guidelines to Implementation
Sprache des Titels:
Englisch
Original Buchtitel:
Database and Expert Systems Applications - DEXA 2021 Workshops
Original Kurzfassung:
In enterprises, data is usually distributed across multiple data sources and stored in heterogeneous formats. The harmonization and integration of data is a prerequisite to leverage it for AI initiatives. Recently, data catalogs pose a promising solution to semantically classify and organize data sources across different environments and to enrich raw data with metadata. Data catalogs therefore allow to create a single, clear, and easy-accessible interface for training and testing computational models. Despite a lively discussion among practitioners, there is little research on data catalogs. In this paper, we systematically review existing literature and answer the following questions: (1) What are the conceptual components of a data catalog? and (2) Which guidelines can be recommended to implement a data catalog? The results benefit practitioners in implementing a data catalog to accelerate any AI initiative and researchers with a compilation of future research directions.
Sprache der Kurzfassung:
Englisch
Veröffentlicher:
Springer International Publishing
Verlagsanschrift:
Cham
Serie:
Communications in Computer and Information Science
Forschungs-