IEEE

A Hybrid ETL Framework for Optimized Data Ingestion and Real-Time Processing in Data Lakehouse Architectures using AI-Driven Orchestration and Contextual Data Partitioning

Abstract: The need for effective Extract, Transform, Load (ETL) technologies that can manage the growing volumes of both structured and unstructured data in information lakehouse architectures is ...
The Register on MSN

Google fuses SQL, Python, and Spark in Colab Enterprise push

Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...
TMCnet

New Airbyte Enterprise Flex Provides Customers Full Sovereignty and Control of Data for AI and Analytics

Airbyte, creator of the open data movement platform, today announced Airbyte Enterprise Flex, providing customers with data sovereignty and full control over their data with no compromise - enabling ...
InfoWorld

The rise of AI-ready private clouds

The rise of AI-ready private clouds represents a fundamental shift in how enterprises approach infrastructure. The objective ...
GitHub

This repository container has pipeline architecture Design Pattern as a guide when considering an Engineering ETL pipeline pattern

project-root/ │ ├── package1/ │ ├── package1/ │ │ └── init.py │ ├── setup.py │ └── pyproject.toml (optional ...
GitHub

llama-cpp-python Prebuilt Wheel (Windows x64, CUDA 12.8, Gemma 3 Support)

Prebuilt .whl for llama-cpp-python 0.3.8 — CUDA 12.8 acceleration with full Gemma 3 model support (Windows x64). This repository provides a prebuilt Python wheel (.whl) file for llama-cpp-python, ...