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 …
Transforming statistical linked data for use in OLAP systems
The amount of available Linked Data on the Web is increasing, and data providers start to
publish statistical datasets that comprise numerical data. Such statistical datasets differ …
publish statistical datasets that comprise numerical data. Such statistical datasets differ …
Interacting with statistical linked data via OLAP operations
Abstract Online Analytical Processing (OLAP) promises an interface to analyse Linked Data
containing statistics going beyond other interaction paradigms such as follow-your-nose …
containing statistics going beyond other interaction paradigms such as follow-your-nose …
Security issues in data warehouse: a systematic review
Abstract As Data Warehouse store huge amount of data with the span of more than decades,
the security of this huge information base is crucial for the sustainability and reliability of data …
the security of this huge information base is crucial for the sustainability and reliability of data …
[PDF][PDF] Comparative study of data warehouse design approaches: a survey
The process of develo** a data warehouse starts with identifying and gathering
requirements, designing the dimensional model followed by testing and maintenance. The …
requirements, designing the dimensional model followed by testing and maintenance. The …
Semantic web and business intelligence in big-data and cloud computing era
Business Intelligence (BI) involves strategies and technologies for the analysis of business
information. Business data can be collected using data mining from online resources …
information. Business data can be collected using data mining from online resources …
[PDF][PDF] An ontology based hybrid approach to derive multidimensional schema for data warehouse
Due to the diversity of data source data integration has become a challenging task. Data
warehouse system plays a vital role to integrate the data for making important business …
warehouse system plays a vital role to integrate the data for making important business …
Intelligent approach to automated star-schema construction using a knowledge base
Most data-warehouse construction processes are performed manually by experts, which is
laborious, time-consuming, and prone to error. Furthermore, special knowledge is required …
laborious, time-consuming, and prone to error. Furthermore, special knowledge is required …
Towards ontology-based OLAP: datalog-based reasoning over multidimensional ontologies
B Neumayr, S Anderlik, M Schrefl - Proceedings of the fifteenth …, 2012 - dl.acm.org
Understandability, reuse, and maintainability of analytical queries belong to the key
challenges of Data Warehousing, especially in settings where a large number of business …
challenges of Data Warehousing, especially in settings where a large number of business …
A tool for data warehouse multidimensional schema design using ontology
The data warehouse has become a necessary component for an effective analysis of large
businesses. It is widely accepted that the data warehouse must be structured according to …
businesses. It is widely accepted that the data warehouse must be structured according to …