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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Published: 2024-02-08
DOI: https://doi.org/10.56294/dm2024219

Overview on Data Ingestion and Schema Matching

By
Oumaima El Haddadi ,
Oumaima El Haddadi

IRIT, SIG Team, Paul Sabatier University, Toulouse, France.

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Max Chevalier ,
Max Chevalier

IRIT, SIG Team, Paul Sabatier University, Toulouse, France

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Bernard Dousset ,
Bernard Dousset

IRIT, SIG Team, Paul Sabatier University, Toulouse, France.

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Ahmad El Allaoui ,
Ahmad El Allaoui

LSA, SDIC Team, Abdelmalek Essaadi University, Tetouan, Morocco.

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Anass El Haddadi ,
Anass El Haddadi

LSA, SDIC Team, Abdelmalek Essaadi University, Tetouan, Morocco.

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Olivier Teste ,
Olivier Teste

IRIT, SIG Team, Paul Sabatier University, Toulouse, France.

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Abstract

This overview traced the evolution of data management, transitioning from traditional ETL processes to addressing contemporary challenges in Big Data, with a particular emphasis on data ingestion and schema matching. It explored the classification of data ingestion into batch, real-time, and hybrid processing, underscoring the challenges associated with data quality and heterogeneity. Central to the discussion was the role of schema mapping in data alignment, proving indispensable for linking diverse data sources. Recent advancements, notably the adoption of machine learning techniques, were significantly reshaping the landscape. The paper also addressed current challenges, including the integration of new technologies and the necessity for effective schema matching solutions, highlighting the continuously evolving nature of schema matching in the context of Big Data.

Keywords:

Data Management,
Schema Matching,
Data Ingestion,
Heterogeneous Schema,
Dynamic Environment,

How to Cite

1.
El Haddadi O, Chevalier M, Dousset B, El Allaoui A, El Haddadi A, Teste O. Overview on Data Ingestion and Schema Matching. Data and Metadata [Internet]. 2024 Feb. 8 [cited 2024 May 17];3:219. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/219

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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Vol. 3 (2024)
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