schema extraction
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Author(s):  
A. Nurul Istiqamah ◽  
Kemas Rahmat Saleh Wiharja

The data warehouse is a very famous solution for analyzing business data from heterogeneous sources. Unfortunately, a data warehouse only can analyze structured data. Whereas, nowadays, thanks to the popularity of social media and the ease of creating data on the web, we are experiencing a flood of unstructured data. Therefore, we need an approach that can "structure" the unstructured data into structured data that can be processed by the data warehouse. To do this, we propose a schema extraction approach using Google Cloud Platform that will create a schema from unstructured data. Based on our experiment, our approach successfully produces a schema from unstructured data. To the best of our knowledge, we are the first in using Google Cloud Platform for extracting a schema. We also prove that our approach helps the database developer to understand the unstructured data better.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Lars Christoph Gleim ◽  
Md Rezaul Karim ◽  
Lukas Zimmermann ◽  
Oliver Kohlbacher ◽  
Holger Stenzhorn ◽  
...  

2019 ◽  
Author(s):  
Angelo Frozza ◽  
Geomar Schreiner ◽  
Bruni Rafael Leal Machado ◽  
Ronaldo Dos Santos Mello
Keyword(s):  

Este artigo descreve o módulo REx (Redis SchemaExtraction), que permite a geração de esquemas para bancos de dados NoSQL chave-valor, sendo um componente da ferramenta JSON Schema Discovery. REx implementaa primeira etapa (Geração de Esquemas Brutos) do processo de extração de esquemas realizado pela JSON Schema Discovery. A estratégia de extração adotada pelo Rex é inovadora na área de extração de esquemas de dados NoSQL.


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