Unifying Data Warehousing and Advanced Analytics: Technical Implementation and Operational Lessons
Keywords:
Data Warehousing Architecture, Lakehouse Implementation, Distributed Data Processing, Real-Time Analytics, Platform EngineeringAbstract
Data warehousing systems have evolved from a central repository into an analytical processing platformfor complex planned decision making by consolidating operational data warehouses, cloud applications,social media and sensors, combining structured data modeling a business metric with unstructured data such as sentiment and market signals. Modern data platforms need the agility of operational systems
References
Deepika Bansal, "The Evolution of Data Warehousing with Emerging Trends and Technologies", IJMRSET, 2022. [Online]. Available: https://www.ijmrset.com/upload/25_The%20Evolution.pdf
Vignesh Nagarajan et al., "PEBSA: Predicting Economic Behavior via Sentiment Analysis", IJECS, 2024. [Online]. Available: https://www.ijecs.in/index.php/ijecs/article/view/4954/4216
