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From Big Data to business analytics: The case study of churn prediction
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 …
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
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) …
Information requirements for big data projects: A review of state-of-the-art approaches
Big data technologies are rapidly gaining popularity and become widely used, thus, making
the choice of develo** methodologies including the approaches for requirements analysis …
the choice of develo** methodologies including the approaches for requirements analysis …
Conceptual modeling of big data SPJ operations with Twitter social medium
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 …
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 …
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 …
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
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 …
activities. Today, abundant information is available on websites in the form of tables or …
[PDF][PDF] Scalable Cloud-based ETL for Self-serving Analytics.
Nowadays, companies must inevitably analyze the available data and extract meaningful
knowledge. As an essential prerequisite, Extract-Transform-Load (ETL) requires significant …
knowledge. As an essential prerequisite, Extract-Transform-Load (ETL) requires significant …
Perspectives of information requirements analysis in big data projects
Big data technologies are rapidly gaining popularity and become widely used, thus, making
the choice of develo** methodologies including the approaches for requirements analysis …
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 …
kandidātshēmas ģenerāciju, izmantojot datu noliktavas formālās prasības, galveno …