Learn how to design and organize your IoT data with data modeling principles and techniques, such as data models, schemas, normalization, denormalization, partitioning, indexing, and standards.

Learn about common data modeling anti-patterns for IoT applications, and how to avoid them for better performance, scalability, and maintainability. Agree & Join LinkedIn ...

The integration of Internet of Things (IoT) technologies with advanced analytics has become critical in extracting valuable insights from continuous data streams in real-time. This paper explores the ...

Understand the Digital Twins Definition Language (DTDL) modeling language for IoT Plug and Play devices. The article describes primitive and complex datatypes, reuse patterns that use components and ...

By George Trujillo, principal data strategist, DataStax; and Ara Bederjikian, president, Titanium Intelligent Solutions - The IoT industry is evolving to support a wide range of use cases and ...

Foundation models (FMs) trained on web-scale data have shown impressive ZSL capability in natural language processing and visual understanding. However, leveraging FMs' generalized knowledge for ...

3. IoT-Oriented Retrieval-Augmented Generation: In the final step, the LLMs use the retrieval-augmented generation model to retrieve context-specific understanding dynamically. The model can ...

IOT Jetstream, with its unified data model facilitated through the Ontology Alignment Project (OAP), makes it possible for users to access data from separate and distinct devices, databases, and ...

PLANO, Texas, Dec. 16, 2020 — BIPP Inc., a business intelligence (BI) company that helps organizations use their data to make better and faster decisions, is releasing the free beta version of its new ...