To consistently generate actionable insights, make real-time decisions, and significantly improve your manufacturing business operations, you need a well-thought-out industrial data management strategy that empowers you to gather, store, process, and interpret data meaningfully. More importantly, effective data management facilitates the abstraction of the automation layer, making it easier for you to scale your smart manufacturing solution across a broad range of plant environments, business units, and production lines.

Watch Kudzai Manditereza, Developer Advocate at HiveMQ, in this webinar recording discussing key strategies and industrial data management approaches that scale, allowing you to harness the potential of your data in driving success of your smart manufacturing use cases.

Key Takeaways from this webinar recording:

• Uncover best practices for collecting, processing, and utilizing data to optimize production, reduce downtime, and enhance quality control.
• Learn how to implement a distributed industrial data management strategy, as opposed to the unscalable approach of storing all your data in one place.
• Learn how to avoid the trap of a complex and tightly coupled data landscape for a more modern, powerful and flexible architecture with MQTT at its core.
• Expert tips and recommendations for developing a comprehensive data management strategy tailored to your organization’s unique needs.

This webinar is designed for:

• Industrial IoT Solution Architects, Digital Transformation Specialists and looking to leverage IIoT and data analytics for manufacturing operational excellence.
• Manufacturing professionals and executives seeking to maximize the potential of their production processes.
• Technology enthusiasts and solution providers looking to explore the latest trends and advancements in smart manufacturing.

Resources Complementing this Webinar

• A Comprehensive Guide To Industrial Data Management
• Unified Namespace (UNS) Essentials
• MQTT Sparkplug Essentials

Contents of the Webinar:

• 00:00 – Introduction
• 01:34 – The Power of Effective Data Management for Smart Manufacturing
• 03:21 – Aligning Data Management With Business Objective
• 04:34 – Identifying, Acquiring and Integrating Plant-Floor Data for Smart Manufacturing
• 06:33 – Potential Sources for Data Acquisition
• 21:38 – DataOps for Industrial IoT Data Management
• 25:44 – Data Modelling for IIoT
• 26:49 – Data Normalization for IIoT
• 28:30 – Data Transformation for IIoT
• 29:53 – Data Contextualisation for IIoT
• 31:26 – Data Modelling Standards for Smart Manufacturing - MQTT Sparkplug, OPC UA, AAS, etc.
• 39:21 – Semantic Data Structuring with MQTT Sparkplug and Unified Namespace
• 44:31 – Key Steps to Designing Your UNS Data Architecture
• 50:34 – IIoT Data Storage and Actionable Analytics Generation (Time-series, Structured, Data lakes, Graph DB, etc.)
• 43:34 - Q&A

About the Speaker

Kudzai Manditereza is a Developer Advocate at HiveMQ and the Founder of Industry40.tv. He is the host of an IIoT Podcast and is involved in Industry4.0 research and educational efforts.

 

Email Contact

Kudzai Manditereza on LinkedIn