To effectively manage the automated warehouse, aiming at the optimization of goods
location assignment, an optimization function for the assignment of storage location was …

To make informed decisions, managers establish data warehouses that integrate multiple
data sources. However, the outcomes of the data warehouse-based decisions are not …

The growth of information technology has opened the gate for the organizations to maintain
their data in various forms and at various volumes. This increases the volume and …

Entity reconciliation (ER) aims to combine data from different sources for a unified vision.
The management of large volumes of data has given rise to significant challenges to the ER …

ETL (Extract, Transform, Load) testing is an essential process in ensuring the accuracy,
completeness, and consistency of data throughout the ETL process. In this article, we …

The Extract-Transform-Load (ETL) process in data warehousing involves extracting data
from source databases, transforming it into a form suitable for research and analysis, and …

The test pyramid is a conceptual model that describes how quality checks can be organized
to ensure coverage of all components of a system, at all scales. Originally conceived to help …

Many data driven organisations need to integrate data from multiple, distributed and
heterogeneous resources for advanced data analysis. A data integration system is an …

Extract Transform Loading (ETL) plays a decisive role in data warehouse (DW) construction.
It involves retrieval informations from multiple sources to improve information quality in DW …

Nowadays, many business intelligence or master data management initiatives are based on
regular data integration, since data integration intends to extract and combine a variety of …