[HTML][HTML] Data warehousing process modeling from classical approaches to new trends: Main features and comparisons
The extract, transform, and load (ETL) process is at the core of data warehousing
architectures. As such, the success of data warehouse (DW) projects is essentially based on …
architectures. As such, the success of data warehouse (DW) projects is essentially based on …
A survey of biological data in a big data perspective
The amount of available data is continuously growing. This phenomenon promotes a new
concept, named big data. The highlight technologies related to big data are cloud computing …
concept, named big data. The highlight technologies related to big data are cloud computing …
Performance analysis of not only SQL semi-stream join using MongoDB for real-time data warehousing
Data warehousing has been indispensable to enterprises for decades. However,
infrequently updated data warehouse environment does not support quicker business …
infrequently updated data warehouse environment does not support quicker business …
Automatic NoSQL to relational database transformation with dynamic schema mapping
Z Aftab, W Iqbal, KM Almustafa, F Bukhari… - Scientific …, 2020 - Wiley Online Library
Recently, the use of NoSQL databases has grown to manage unstructured data for
applications to ensure performance and scalability. However, many organizations prefer to …
applications to ensure performance and scalability. However, many organizations prefer to …
Dltodw: Transferring relational and NoSQL databases from a data lake
Over the past decade, digital transformation has led to the evolution of databases towards
Big Data. A need to collect and analyze data from different sources has emerged. At the …
Big Data. A need to collect and analyze data from different sources has emerged. At the …
Progressive growth of ETL tools: A literature review of past to equip future
ETL is the bedrock of a data warehouse. As the data accelerates in the diversified fields, it is
substantive to integrate the data to extract the prerequisites for business advancement and …
substantive to integrate the data to extract the prerequisites for business advancement and …
A Service-Oriented Framework for ETL Implementation
The development of analytical systems imposes several challenges related not only to the
amount and heterogeneity of the involved data but also to the constant need to readapt and …
amount and heterogeneity of the involved data but also to the constant need to readapt and …
A multi-layer modeling for the generation of new architectures for big data warehousing
With the explosion of new data processing and storage technologies nowadays, businesses
are looking to harness the hidden value of data, each in their own way. Many contributions …
are looking to harness the hidden value of data, each in their own way. Many contributions …
An embedding driven approach to automatically detect identifiers and references in document stores
NoSQL stores have become ubiquitous since they offer a new cost-effective and schema-
free system. Although NoSQL systems are widely accepted today, Business Intelligence & …
free system. Although NoSQL systems are widely accepted today, Business Intelligence & …
A unified conceptual model for data warehouses
These days, NoSQL (Not only SQL) databases are being used as a deployment tool for Data
Warehouses (DW) due to its support for dynamic and scalable data modeling capabilities …
Warehouses (DW) due to its support for dynamic and scalable data modeling capabilities …