Skip to main navigation menu Skip to main content Skip to site footer
×
Español (España) | English
Editorial
Home
Indexing
Reviews

Overview on Data Ingestion and Schema Matching

By
Oumaima El Haddadi ,
Oumaima El Haddadi

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

Search this author on:

PubMed | Google Scholar
Max Chevalier ,
Max Chevalier

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

Search this author on:

PubMed | Google Scholar
Bernard Dousset ,
Bernard Dousset

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

Search this author on:

PubMed | Google Scholar
Ahmad El Allaoui ,
Ahmad El Allaoui

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

Search this author on:

PubMed | Google Scholar
Anass El Haddadi ,
Anass El Haddadi

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

Search this author on:

PubMed | Google Scholar
Olivier Teste ,
Olivier Teste

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

Search this author on:

PubMed | Google Scholar

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.

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 Apr. 24];3:219. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/219

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

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.