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 ...
GitHub

SQL-Mongo Converter - A Lightweight SQL to MongoDB (and Vice Versa) Query Converter

SQL-Mongo Converter is a lightweight Python library for converting SQL queries into MongoDB query dictionaries and converting MongoDB query dictionaries into SQL statements. It is designed for ...
IEEE

Gram: A Large-Scale General EEG Model for Raw Data Classification and Restoration Tasks

Abstract: Drawing insights from Large Language Models, researchers have developed several large-scale Electroencephalogram (EEG) models (LEMs) to learn a generalized representation adaptable to ...
IEEE

Decision Support Model for Time Series Data Augmentation Method Selection

Abstract: Data augmentation (DA) plays a crucial role in machine learning by improving model generalization and tackling data scarcity issues, particularly prevalent in domains with limited access to ...
GitHub

Data Modeling Guide: ClickHouse ETL with NOAA Weather Data Example

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...