On Enriching User centered Data Integration Schemas In Service Lakes

By Amabella Pelland • Published: 08 September 2023 • Updated: 12 May 2025

until it is needed. Such data is usually accessed directly through the API of big data platforms such as Hadoop and Spark, or through wrappers. We introduce in this paper a.

In the Big Data era, companies are moving away from traditional data-warehouse solutions whereby expensive and time-consuming ETL (Extract-Transform-Load) processes are.

On Enriching User-Centered Data Integration Schemas in Service Lakes. In Witold Abramowicz , editor, Business Information Systems - 20th International Conference, BIS.

Hiba Alili, Khalid Belhajjame, Daniela Grigori, Rim Drira and Henda Hajjami Ben Ghezala: On Enriching User-Centered Data Integration Schemas in Service Lakes. BIS 2017: 3-15.

A data lake is a storage repository that holds a large amount of data in its native, raw format. Data lake stores are optimized for scaling to terabytes and petabytes.

The data lake serves as a thin data-management layer within the company’s technology stack that allows raw data to be stored indefinitely before being prepared for.

To exploit data lakes, however, there is a need for means that assist users in combining and integrating data stored within a data lake. In (PDF) Quality Based Data Integration for.

We show how data lakes, or more specifically the service lakes, since we are focusing on data providing services, can be leveraged to answer user queries, taking into account the.

We show how data lakes, or more specifically the service lakes, since we are focusing on data providing services, can be leveraged to answer user queries, taking into.

This paper describes how both the domain and the information sources are modeled, shows how a query at the domain level is mapped into a set of queries to individual.

On enriching user-centered data integration schemas in service lakes H Alili, K Belhajjame, D Grigori, R Drira, HHB Ghezala Business Information Systems: 20th International.

On Enriching User-Centered Data Integration Schemas in Service Lakes. ... towards data lakes, which can be viewed as storage repositories holding a vast amount.

In this paper, we position ourselves in the recurrent context where a user has a local dataset that is not sufficient for processing the queries that are of interest to him. In this context,.

In this context, we show how the data lake, or more specifically the service lake since we are focusing on data providing services, can be leveraged to enrich the local dataset with.

On Enriching User-Centered Data Integration Schemas in Service Lakes Hiba Alili, Khalid Belhajjame, Daniela Grigori, Rim Drira, Henda Hajjami Ben Ghezala Pages 3-15

Request PDF | On Enriching User-Centered Data Integration Schemas in Service Lakes | In the Big Data era, companies are moving away from traditional data.

Microsoft data market. https://datamarket.azure.com/ Google Scholar; 6. Oracle data cloud. https://www.oracle.com/fr/data-cloud/ Google Scholar; 7. Alili, H., Belhajjame, K., Drira,.

In this context, we show how the data lake, or more specifically the service lake since we are focusing on data providing services, can be leveraged to enrich the.

Jul 2022 Julia Couto Olimar Teixeira Borges Duncan D. Ruiz View Show abstract ... Complex data transformations and analysis can be performed using Kafka.

On Enriching User-Centered Data Integration Schemas in Service Lakes H. Alili, Khalid Belhajjame, +2 authors H. Ghézala Published in Business Information.

In this context, we show how the data lake, or more specifically the service lake since we are focusing on data providing services, can be leveraged to enrich the.