Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

Modeling ETL Process of Biomedical Sensors: A Cloud-Based Approach to Data Integration and Manipulation

Abstract: This paper presents a cloud-based Extract, Transform, Load (ETL) process model designed to facilitate the integration, processing, and analysis of biomedical signals. The study focuses on ...
GitHub

Data Engineering Project: SQL and Python ETL Pipeline

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...
GitHub

Data Warehouse and Analytics Project

Welcome to the Data Warehouse and Analytics Project repository! 🚀 This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating ...
IEEE

ETL Pipeline Using Lambda Services

Abstract: This survey paper extensively examines the utilization of serverless Lambda functions, with AWS Lambda as a primary exemplar, within Extract, Transform, Load (ETL) pipelines. It underscores ...