Challenges and solutions for processing real-time big data stream: a systematic literature review
Contribution: Recently, real-time data warehousing (DWH) and big data streaming have
become ubiquitous due to the fact that a number of business organizations are gearing up to …
become ubiquitous due to the fact that a number of business organizations are gearing up to …
Distributed real-time ETL architecture for unstructured big data
Real-time extract transform load (ETL) is the integral part of increasing demand of faster
business decisions targeting large number of modern applications. Multi-source …
business decisions targeting large number of modern applications. Multi-source …
Safeguarding Enterprise Prosperity: An In-depth Analysis of Financial Management Strategies
R Wang - Journal of the Knowledge Economy, 2024 - Springer
This research paper delves into the profound impact of public health emergencies on
corporate finance, with a specific lens on the COVID-19 pandemic's transformative effects …
corporate finance, with a specific lens on the COVID-19 pandemic's transformative effects …
Design principles for shared digital twins in distributed systems
Digital Twins offer considerable potential for cross-company networks. Recent research
primarily focuses on using Digital Twins within the limits of a single organization. However …
primarily focuses on using Digital Twins within the limits of a single organization. However …
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) …
Real-Time ETL for Multimedia Sources: A Systematic Literature Review
The proliferation of multimedia data sources including text, images, videos, etc., driven by
the extensive usage of social media and smart devices, highlights a significant need for real …
the extensive usage of social media and smart devices, highlights a significant need for real …
RETRACTED ARTICLE: Dynamic multi-variant relational scheme-based intelligent ETL framework for healthcare management
V Manickam, M Rajasekaran Indra - Soft Computing, 2023 - Springer
The growth of information technology has opened the gate for the organizations to maintain
their data in various forms and at various volumes. This increases the volume and …
their data in various forms and at various volumes. This increases the volume and …
Stream ETL framework for twitter-based sentiment analysis: Leveraging big data technologies
Twitter has emerged as a rich source of real-time data, providing valuable insights across
various domains such as healthcare and business. Sentiment analysis is crucial in …
various domains such as healthcare and business. Sentiment analysis is crucial in …
A Service-Oriented Framework for ETL Implementation
The development of analytical systems imposes several challenges related not only to the
amount and heterogeneity of the involved data but also to the constant need to readapt and …
amount and heterogeneity of the involved data but also to the constant need to readapt and …
Generating Research Questions from Digital Trace Data: A Machine Learning Method for Discovering Patterns in a Dynamic Environment
Digital trace data derived from organizations' information systems represent a wealth of
possibilities in analyzing decision-making processes and organizational performance. While …
possibilities in analyzing decision-making processes and organizational performance. While …