The digital transformation sets new requirements to all classes of enterprise systems in
companies. ERP systems in particular, which represent the dominant class of enterprise …

Data integration (DI) means the method of putting together the wanted data from multiple
source into single, and provide the user with a united vision of those data. This document …

Abstract Information technology (IT) allows for large-scale data collection and data analysis,
eg through logs of user behavior and online surveys. While the issue of structured access to …

Data Warehouse plays an important part in the process of knowledge engineering and
decision-making for Enterprise, as a key component of the data warehouse architecture, the …

In recent years, the increase of average waiting times in waiting lists is an issue that has
been felt in health institutions. Thus, the implementation of new administrative measures to …

Enterprise Resource Planning has become the cornerstone for making data acquisition and
related operations more efficient. Recent advances in hardware and software technologies …

Extraction-Transformation-Loading (ETL) processes are responsible for all the operations
taking place at the warehouse. The ETL is done by specialized tools that deal with the …

As part of data analytics in organizations, data integration involves merging data from
different sources. There are several ways to combine data to create an integrated …

The article discusses algorithms for optimizing the transformation stage of the ELT process,
built on the basis of procedures in the PostgreSQL DBMS and the parallelization mechanism …

In manufacturing industries, knowledge based service capabilities have been calculated to
be responsible for 65% to 75% of the total added value of the products from these industries …