Skip to content

Comprehensive Guide To Industrial Data Management

E-Book

Our eBook and Guide Series are designed for more technical readers who want to delve deep into the content. They are based on the highly popular blogs referenced below and enhanced with additional content.

This eBook and guide focus on the topic of developing a well-thought-out data management approach and how this is crucial for the success of your organization’s smart manufacturing strategy. Effective data management enables meaningful data gathering, storage, processing, and interpretation, while also facilitating the scalability of solutions across various plant environments, business units, and production lines. These capabilities are essential for generating actionable insights, making real-time decisions, and automating business operations in line with smart manufacturing objectives.

Without a solid data management strategy, challenges arise in digital projects, including a complex network of technologies, standalone solutions difficult to integrate, poorly planned digital infrastructure, and escalating costs. In a series of six articles, we will cover topics such as data collection, modeling, contextualization, semantic structuring, integration, storage, analytics, data-driven decision-making, and the future of industrial data management.

/img/blog/header_image_industrial_data_management_part1.png
Industrial Data Management, Industry 4.0MQTTSmart Manufacturing

The Power of Data Management in Driving Smart Manufacturing Success

Unlock Smart Manufacturing success with effective data management. Learn how a comprehensive data strategy drives success in Industry 4.0.

Kudzai Manditereza, May 23, 2023
/img/blog/header-image-identify-acquire-integrate-plant-floor-data-smart-manufacturing-v2.png
Industrial Data Management, Industry 4.0MQTTSmart Manufacturing

Identifying, Acquiring and Integrating Plant-Floor Data for Smart Manufacturing

Learn how to identify data sources & the process of acquiring & aggregating data from manufacturing operations to facilitate smart manufacturing.

Kudzai Manditereza, May 31, 2023
/img/blog/header-image-data-modelling-contextualization-normalization-for-smart-manufacturing.png
Industrial Data ManagementIndustry 4.0MQTTSmart Manufacturing

Data Modelling, Contextualization and Normalization for Smart Manufacturing

Discover the methods of transforming, standardizing, normalizing, and modelling the data collected in smart manufacturing.

Kudzai Manditereza, Jun 6, 2023
/img/blog/header-image-comparative-analysis-of-data-modeling-standards-for-smart-manufacturing.png
Industrial Data ManagementIndustry 4.0MQTT SparkplugSmart ManufacturingMQTT

A Comparative Analysis of Data Modelling Standards for Smart Manufacturing

Here’s a analysis of data modelling standards like Digital Twin Definition Language (DTDL), MQTT Sparkplug, OPC UA, AAS, etc. for smart manufacturing.

Kudzai Manditereza, Jun 13, 2023
/img/blog/header-image-semantic-data-structuring-mqtt-sparkplug-unified-namespace-uns-smart-manufaturing.png
Industrial Data ManagementIndustry 4.0MQTT SparkplugSmart ManufacturingMQTTUNS

Semantic Data Structuring with MQTT Sparkplug and Unified Namespace

Learn how MQTT Sparkplug and Unified Namespace (UNS) help with semantic data structuring in smart manufacturing and IIoT.

Kudzai Manditereza, Jun 20, 2023
/img/blog/header-image-iiot-data-storage-and-actionable-analytics-generation.png
Industrial Data ManagementIndustry 4.0MQTT SparkplugSmart ManufacturingMQTTUNS

IIoT Data Storage and Actionable Analytics Generation

Explore IIoT data storage such as time-series databases, structured DBs, data lakes, etc. and delve into actionable analytics from the stored IIoT data.

Kudzai Manditereza, Jun 27, 2023
HiveMQ logo
Review HiveMQ on G2