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ETL Techniques for Structured and Unstructured Data

https://doi.org/10.2139/ssrn.5143370
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-981-19-1122-4_5openalex-extracted
Data Warehouse Modernization Using Document-Oriented ETL Framework for Real Time Analytics
inferredcites →https://doi.org/10.1007/s10115-022-01757-7openalex-extracted
Distributed real-time ETL architecture for unstructured big data
inferredcites →https://doi.org/10.1016/0169-023x(94)90039-6openalex-extracted
Database: Principles, programming, and performance
inferredcites →https://doi.org/10.1016/c2020-0-02233-4openalex-extracted
Cloud Computing
inferredcites →https://doi.org/10.1016/j.procir.2015.06.008openalex-extracted
Product Life Cycle Analytics – Next Generation Data Analytics on Structured and Unstructured Data
inferredcites →https://doi.org/10.1109/icde.2005.1openalex-extracted
"One size fits all": an idea whose time has come and gone
inferredcites →https://doi.org/10.1109/iscbi.2013.20openalex-extracted
A Comprehensive Review of Unstructured Data Management Approaches in Data Warehouse
inferredcites →https://doi.org/10.1145/248603.248616openalex-extracted
An overview of data warehousing and OLAP technology
inferredcites →https://doi.org/10.2139/ssrn.3563389openalex-extracted
An Unstructured to Structured Data Conversion using Machine Learning Algorithm in Internet of Things (IoT)
inferredcites →https://doi.org/10.2139/ssrn.5148188openalex-extracted
ETL in a World of Unstructured Data: Advanced Techniques for Data Integration
inferredcites →https://doi.org/10.2139/ssrn.5148190openalex-extracted
OPTIMIZING CLOUD DATA WAREHOUSING: A DEEP DIVE INTO SNOWFLAKE'S ARCHITECTURE AND PERFORMANCE
inferredcites →https://doi.org/10.21608/jdlol.2024.272477.1034openalex-extracted
Big data and data science
inferredcites →https://doi.org/10.3390/bdcc8020017openalex-extracted
A Model for Enhancing Unstructured Big Data Warehouse Execution Time
inferredcites →https://doi.org/10.5120/15388-3765openalex-extracted
Automated Creating a Data Warehouse from Unstructured Semantic Data
inferredcites →https://doi.org/10.5220/0002364201990205openalex-extracted
EXTRACTION AND TRANSFORMATION OF DATA FROM SEMI-STRUCTURED TEXT FILES USING A DECLARATIVE APPROACH
inferredcites →https://doi.org/10.1016/c2016-0-02364-1openalex-snapshot
Cloud Computing: Theory and Practice
inferredcites →https://doi.org/10.2200/s00456ed1v01y201211dtm032openalex-snapshot
Data Management in the Cloud: Challenges and Opportunities

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/icaect68478.2026.11425872openalex-snapshot
Data Centric Framework Measuring Social Climate in Study-Abroad Destinations Using Targeted Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/iraset68627.2026.11538881openalex-snapshot
Design of a Centralized Sales Performance Dashboard for Multi-Branch Restaurants: Case Study of PT XYZ
inferred← citeshttps://doi.org/10.1109/mitp.2025.3632496openalex-snapshot
Bringing Extract, Transform, and Load to Life via Agentic AI
inferred← citeshttps://doi.org/10.1109/wconf64849.2025.11233584openalex-snapshot
AI-Driven ETL Pipelines for Real-Time Big Data Curation
inferred← citeshttps://doi.org/10.63282/3050-9416.ijaibdcms-v3i4p104openalex-snapshot
Exception Handling in Large-Scale ETL Systems: Best Practices
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