Unified Namespace (UNS) is a novel solution that allows you to collect data from various industrial IoT (IIoT) systems, add context to it, and transform it into a format that other systems can understand.
In this series, you will learn what Unified Namespace (UNS) is and why it matters, how it works, and how to implement it using MQTT and Sparkplug. This guide will help IIoT Solution Architects and Digital Transformation Specialists in manufacturing understand the Unified Namespace so you can utilize this highly effective architectural approach in your digital strategies.
An introduction to Unified Namespace (UNS), what it is and why does it matter to Industrial IoT and Industry 4.0 projects.
Learn the key elements of a unified namespace (UNS), where it lives in your IIoT architecture, and what are the best practices of implementing it.
Learn how to implement Unified Namespace (UNS) using MQTT Sparkplug specification, and Parris & Schultz methods for structuring it.
Discover the key considerations for selecting an ideal MQTT broker for UNS in an IIoT setup.
Learn how integrating SCADA systems into a UNS using MQTT can enable more agile, efficient, and scalable industrial IoT operations.
Explore why historians need to be integrated into UNS and how this helps promote open architecture, bridge event-handling gaps, & enrich data models in IIoT.
Explore how an MES system can be integrated into a Unified Namespace (UNS) as part of a digital transformation in manufacturing organizations.
Explore how to integrate an ERP system into a Unified Namespace data ecosystem to enhance the digital transformation journey of manufacturing companies.
Explore how integrating advanced analytics into Unified Namespace (UNS) enables efficient, real-time data sharing and brings operational efficiency.
Explore different IIoT use cases and practical applications of UNS in Industry 4.0.
Explore how UNS enables Industry 4.0, helping manufacturers derive business value from IIoT data at scale, surpassing traditional challenges.
Discover why Data Warehouses and Lakes can't serve as Unified Namespaces. Learn their role as nodes in the larger UNS ecosystem.
Learn how to develop a UNS Semantic Data Hierarchy with MQTT for real-time data sharing, optimizing processes & enhancing decision-making in manufacturing.
Master UNS data modeling to unify disparate data and build a scalable framework that drives enterprise-wide insights and accelerates innovation.
Explore how UNS enables autonomous manufacturing industry, drives efficiency, and resilience through seamless data integration and intelligent automation.
HiveMQ is the best MQTT platform for UNS implementation, making your IIoT data efficient and ready to scale.
This series aims to build up on the UNS Essentials and offers practical guidance for architecting a UNS for your organization. The series starts by solidifying the core principles of a Unified Namespace (UNS) architecture for manufacturing enterprises and then explores the essential elements of the UNS architecture and deep dives into designing information mapping for your UNS semantic hierarchical structure and data modelling.
Explore the fundamentals of an UNS architecture and learn to effectively manage data complexity & data interoperability with MQTT.
Explore UNS semantic data hierarchy design using MQTT, learn about the best practices for MQTT topic namespace structuring for UNS, and more.
Discover the process of designing data models for effective integration into a UNS and learn why DataOps is essential for an UNS architecture.
Learn how to address key security challenges associated with Unified Namespace (UNS) in IIoT environments with actionable strategies and best practices.
Your guide to developing a well-thought-out data management approach and how this is crucial for the success of your organization’s smart manufacturing strategy.
Explore the importance of effective data management in achieving business objectives through smart manufacturing.
Identify sources of plant-floor data and learn how to make them accessible via a standardized interface for enterprise integration.
Learn different methods of transforming, standardizing, normalizing, and modeling the collected data to improve IIoT data quality.
Learn to make a comparative analysis of data modelling standards like Digital Twin Definition Language (DTDL), MQTT Sparkplug, OPC UA, AAS, etc. for smart manufacturing.
Learn how MQTT Sparkplug and Unified Namespace (UNS) enables an efficient smart manufacturing data infrastructure.
Explore diverse data storage mechanisms such as TSDBs, structured databases, data lakes, and graph databases. Learn how actionable analytics can be created from stored IIoT data and how adopting a unified analytics approach allows effective cross-contextualization and correlation in IIoT.
Download our comprehensive eBook to master the design of a Unified Namespace for your IIoT projects. Discover strategies and best approaches to effective UNS implementation and take your industrial systems to the next level.
Explore our extensive resources to gain a deeper understanding of Unified Namespace (UNS).
Learn how to use UNS in combination with an MQTT broker to build a complete, easy to deploy, accessible, and structured solution to power your Smart Factory.
Learn how an MQTT Broker can be used in smart manufacturing as a centralised server for coordinating the exchange of ISA95 models using Sparkplug and Unified Namespace.
Learn how to design your smart manufacturing system based on a UNS architecture along with ISA 95 standard for modeling the data objects.
Learn how to construct a scalable and flexible Industrial Unified Namespace using HiveMQ MQTT platform and MongoDB Atlas.
On Unified Namespace (UNS)
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