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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. IoT is transforming how industries operate and make decisions, from agriculture to mining, energy utilities, and traffic management.

IoT 264
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Visualizing IoT Data With MQTT, QuestDB, and Grafana

DZone

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data.

IoT 241
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Harmonizing Space, Time, and Semantics: Navigating the Complexity of Geo-Distributed IoT Databases

DZone

In the era of the Internet of Things ( IoT) , the continuous influx of spatial and temporal data from interconnected devices has given rise to a vast and intricate landscape, demanding a sophisticated approach to database management.

IoT 290
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Automation Testing: an Essential Strategy for IoT Application Testing

DZone

According to Forbes , " the global IoT market can grow from $157B in 2016 to $457B by 2020, attaining a Compound Annual Growth Rate (CAGR) of 28.5 Adoption of IoT (Internet of Things) is increasing across various industries, in government sectors, and in consumers’ day-to-day life.

IoT 223
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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Dynatrace connects service-side observability data to customers’ experiences and business outcomes. Avoid the cost of customer churn by optimizing customer experience.

Analytics 286
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Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204
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Managing IoT Edge Devices at Scale: Device Lifecycle and Configuration Management

DZone

IoT has ushered in an era of unprecedented connectivity and data collection. IoT edge devices, ranging from sensors to industrial machines, have become integral to various industries, offering insights, automation, and efficiency. However, managing a large number of these edge devices efficiently poses a significant challenge.

IoT 211