Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS-Reference-Cited by-同舟云学术

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Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS

Published:2022 Issue: Volume:211 Page:3-16
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Azeroual Otmane,Schöpfel Joachim,Ivanovic Dragan,Nikiforova Anastasija

Publisher

Elsevier BV

Subject

General Engineering

Reference35 articles.

1. Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics;Armbrust,2021

2. Solving Problems of Research Information Heterogeneity During Integration – Using the European CERIF and German RCD Standards as Examples;Azeroual;Information Services & Use,2019

3. Data Wrangling in Database Systems: Purging of Dirty Data;Azeroual;Data,2020

4. Big Research Information in Data Lake;Azeroual;Academia Letters,2022

5. Putting FAIR principles in the context of research information: FAIRness for CRIS and CRIS for FAIRness;Azeroual,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Lakehouse: State of the Art on Concepts and Technologies;SN Computer Science;2024-04-18

2. A Model for Enhancing Unstructured Big Data Warehouse Execution Time;Big Data and Cognitive Computing;2024-02-06

3. Energy Measurement System for Data Lake: An Initial Approach;Lecture Notes in Computer Science;2024

4. Developing a Data Lakehouse for a South African Government-Sector Training Authority;Advances in Electronic Government, Digital Divide, and Regional Development;2023-12-08

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