Managing Highly Contextualized Data for IIoT
· Predictive Maintenance

Managing Highly Contextualized Data for IIoT

Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns and irregularities in this data type is necessary for interpreting large-scale, complex industrial processes. Each sensor has its own […]

Read more →
Time Series Data as the Backbone of Smart Grid IIoT Solutions
· Renewable Energy

Time Series Data as the Backbone of Smart Grid IIoT Solutions

The smart grid transformed modern energy management by integrating digital technology into traditional power grids. It enhances real-time monitoring, control, and optimizes energy distribution and consumption. This change is crucial for meeting the growing need for reliable, sustainable, and efficient energy systems.Data is essential for this to work. Readings from sensors, devices, and machine controls […]

Read more →
Hybrid Architecture for Time Series Data Pipelines
· Connected Industry

Hybrid Architecture for Time Series Data Pipelines

The ability to efficiently manage and analyze time series data is crucial in many sectors and industries. This article explores the development of a hybrid architecture designed to optimize the handling of such data, particularly from IIoT sources. By integrating local and centralized data management strategies, this architecture approach aims to enhance real-time data analysis […]

Read more →
Enhancing IoT Efficiency through MQTT and Time Series Data
· Connected Industry

Enhancing IoT Efficiency through MQTT and Time Series Data

In the rapidly evolving world of IoT, efficient data communication and management are paramount. The white paper “Working with MQTT and InfluxDB” provides a comprehensive overview of how MQTT, a lightweight messaging protocol, pairs with InfluxDB to create powerful solutions for data-intensive IoT applications.The white paper explores the benefits of using MQTT, such as its efficiency, reliability, […]

Read more →
Making Renewable Energy More Efficient with Time Series Data
· Connected Industry

Making Renewable Energy More Efficient with Time Series Data

Renewable energy is more important than ever, so integrating advanced technologies is pivotal for enhancing efficiency and reliability. Among these technologies, time series databases, particularly InfluxDB, are proving instrumental. This article delves into how the renewable energy sector uses time series data, offering insight into energy production and consumption patterns, and facilitating more informed decision-making […]

Read more →
Transition from Preventive to Predictive Maintenance Using Time Series Data with MAJiK Visual Factory and InfluxDB
· Connected Industry

Transition from Preventive to Predictive Maintenance Using Time Series Data with MAJiK Visual Factory and InfluxDB

MAJiK Systems creates software that helps manufacturing and industrial engineering companies improve their factory operations using data-driven manufacturing methods. The company designs a full suite of Visual Factory tools that use data from the machines themselves to power AI-driven insights.The challenge at handMAJiK Systems is no newcomer when it comes to building visual manufacturing tools […]

Read more →