From Big Data to business analytics: The case study of churn prediction

E Zdravevski, P Lameski, C Apanowicz, D Ślȩzak - Applied Soft Computing, 2020 - Elsevier
The success of companies hugely depends on how well they can analyze the available data
and extract meaningful knowledge. The Extract-Transform-Load (ETL) process is …

Data integration from traditional to big data: main features and comparisons of ETL approaches

A Walha, F Ghozzi, F Gargouri - The Journal of Supercomputing, 2024 - Springer
Data integration combines information from different sources to provide a comprehensive
view for making informed business decisions. The ETL (Extract, Transform, and Load) …

Information requirements for big data projects: A review of state-of-the-art approaches

N Kozmina, L Niedrite, J Zemnickis - … DB&IS 2018, Trakai, Lithuania, July 1 …, 2018 - Springer
Big data technologies are rapidly gaining popularity and become widely used, thus, making
the choice of develo** methodologies including the approaches for requirements analysis …

Conceptual modeling of big data SPJ operations with Twitter social medium

H Mallek, F Ghozzi, F Gargouri - Social Network Analysis and Mining, 2023 - Springer
Currently, the blooming growth of social networks such as Facebook, Twitter, Instagram, etc.,
has generated and is still generating a big amount of data, which can be regarded as a gold …

Extending The Data Integration Model As The Foundation Of Business Intelligence: A Systematic Literature Review

AW Sudrajat - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
The decision-making of a dynamic business requires information, and the solution is to build
business intelligence. Data integration is an important component of business intelligence …

Management and instant query of distributed oil and gas production dynamic data

W Hongliang, MU Longxin, SHI Fugeng… - Petroleum Exploration …, 2019 - Elsevier
The multidimensional analysis engine data management platform is constructed using big
data distributed storage and parallel computing, data warehouse modeling technology …

Automated heuristic based context dependent ETL process to generate multi‐dimensional model for tabular data

S Hira, PS Deshpande - Concurrency and Computation …, 2023 - Wiley Online Library
Over the past decade, enterprises have broadly adopted data warehousing in various
activities. Today, abundant information is available on websites in the form of tables or …

[PDF][PDF] Scalable Cloud-based ETL for Self-serving Analytics.

E Zdravevski, C Apanowicz, K Stencel, D Slezak… - ICDM, 2019 - researchgate.net
Nowadays, companies must inevitably analyze the available data and extract meaningful
knowledge. As an essential prerequisite, Extract-Transform-Load (ETL) requires significant …

Perspectives of information requirements analysis in big data projects

N Kozmina, L Niedrite… - Databases and Information …, 2019 - ebooks.iospress.nl
Big data technologies are rapidly gaining popularity and become widely used, thus, making
the choice of develo** methodologies including the approaches for requirements analysis …

Datu noliktavas izveides metodes lielo datu laikmetā

J Zemnickis - 2024 - dspace.lu.lv
Darbā tiek piedāvātas jaunas metodes, kas nodrošina daļēji automātisku datu noliktavas
kandidātshēmas ģenerāciju, izmantojot datu noliktavas formālās prasības, galveno …