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 ...

ETL Explained: From Core Processes to Typical Application Scenarios

Next, I will start with the ETL process and application scenarios to explain why companies are willing to invest resources in ...
Visual Studio Magazine

ETL, KQL and RTI: Harnessing Data in Motion with Microsoft Fabric

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...
GitHub

lodonnell-ETL/Add-Printers-Intune

First, please follow the excellent guide over at Rock My Printers - https://www.rockenroll.tech/2023/03/14/rock-my-printers/ as this is a required step, in the ETL ...
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 ...