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IoT Device Management: Streamlining Connectivity in a Connected World

DZone

The proliferation of the Internet of Things ( IoT ) has led to an explosion in the number of connected devices, from smart thermostats in homes to sensors in manufacturing plants. Enter IoT device management — the suite of tools and practices designed to monitor, maintain, and update these interconnected devices.

IoT 310
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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. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.

IoT 204
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

However, these technologies are on a path of rapid convergence as factories scale up their IIoT networks and demand faster, more autonomous decision-making. Edge computing can help by keeping sensitive data processing local to the facility, reducing exposure to external networks.

IoT 52
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. What is RabbitMQ? This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. At a glance – TLDR. The Greenplum Architecture.

Big Data 321
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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed.

IoT 52
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Elastic Container Service (ECS). Amazon EMR.

AWS 200