Big data and geographic information systems (GIS) are two technologies that have
increasingly influenced many areas in the last 10 years and will continue to improve and …

Enterprises use data warehouses to accumulate data from multiple sources for analysis and
research. A data warehouse is populated using the Extract, Transform, and Load (ETL) …

ABSTRACT Objective To access Electronic Health Record (EHR) data, hospitals have
implemented Clinical Data Warehouses (CDWs) using Extract Transform and Load (ETL) …

Abstract Extract-Transform-Load (ETL) flows are used to extract data, transform it, and load it
into data warehouses (DWs). The dominating ETL tools use graphical user interfaces (GUIs) …

A data warehouse (DW) is a huge collection of business data. It contains business current as
well as historical data that is used to benefit and effectively support an organization's …

This dissertation was written as a part of the MSc in Data Science at the International
Hellenic University. The main purpose is the presentation of the Business Intelligence and …

Embodiments described herein are generally related to computer data analytics, and
systems and methods for use with an analytic applications environment, for determining an …

Organizations collect data from various sources, and these datasets may have
characteristics that are unknown. Selecting the appropriate statistical and machine learning …

The information systems that support small, medium, and large organisations need data
transformation solutions from multiple data sources to fulfill the requirements of new …

Cílem této práce je implementace nástroje vykonávajícího konverzní algoritmus mezi daty s
datovou strukturou OpenStreetMap a nástrojem TrafficModeller. V úvodní části jsou …