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 ...
GitHub

Unified data foundation with Fabric solution accelerator

This solution accelerator provides a unified data foundation with integrated data architecture leveraging Microsoft Fabric, OneLake, Microsoft Purview, and Azure Databricks to deliver a unified, ...
IEEE

Automating the Design of Scalable and Efficient IoT Architectures Using Generative Adversarial Networks and Model-Based Engineering for Industry 4.0

Abstract: The increasing demand for efficient and scalable IoT systems in Industry 4.0 has driven the development of increasingly complex architectures. However, the design of these architectures ...
InfoQ

Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...