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 …
Data warehouse systems
A Vaisman, E Zimányi - Data-Centric Systems and Applications, 2014 - Springer
Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …
organizations to store their essential data. However, nowadays, the needs of these …
Agile business intelligence: Collection and classification of agile business intelligence actions by means of a catalog and a selection guide
R Krawatzeck, B Dinter - Information Systems Management, 2015 - Taylor & Francis
Based on a literature review, the article presents a catalog of 31 agile business intelligence
actions suitable to increase the agility of business intelligence systems. The actions are …
actions suitable to increase the agility of business intelligence systems. The actions are …
Business-driven data analytics: A conceptual modeling framework
The effective development of advanced data analytics solutions requires tackling challenges
such as eliciting analytical requirements, designing the machine learning solution, and …
such as eliciting analytical requirements, designing the machine learning solution, and …
Design and implementation of ETL processes using BPMN and relational algebra
J Awiti, AA Vaisman, E Zimányi - Data & Knowledge Engineering, 2020 - Elsevier
Extraction, transformation, and loading (ETL) processes are used to extract data from
internal and external sources of an organization, transform these data, and load them into a …
internal and external sources of an organization, transform these data, and load them into a …
Data integration from traditional to big data: main features and comparisons of ETL approaches
Data integration combines information from different sources to provide a comprehensive
view for making informed business decisions. The ETL (Extract, Transform, and Load) …
view for making informed business decisions. The ETL (Extract, Transform, and Load) …
A BPMN-based design and maintenance framework for ETL processes
Business Intelligence (BI) applications require the design, implementation, and maintenance
of processes that extract, transform, and load suitable data for analysis. The development of …
of processes that extract, transform, and load suitable data for analysis. The development of …
A new approach for conceptual extraction-transformation-loading process modeling
N Biswas, S Chattapadhyay, G Mahapatra… - International Journal of …, 2019 - igi-global.com
Erroneous or incomplete data generated from various sources can have direct impact in
business analysis. Extracted data from sources need to load into data warehouse after …
business analysis. Extracted data from sources need to load into data warehouse after …
Towards extract-transform-load operations in a big data context
Big Data emerged after a big explosion of data from the Web 2.0, digital sensors, and social
media applications such as Facebook, Twitter, etc. In this constant growth of data, many …
media applications such as Facebook, Twitter, etc. In this constant growth of data, many …
ETL based framework for NoSQL warehousing
Over the last few years, NoSQL systems are gaining strong popularity and a number of
decision makers are using it to implement their warehouses. Building the ETL process is one …
decision makers are using it to implement their warehouses. Building the ETL process is one …