Remove Efficiency Remove IoT Remove Storage
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. What is RabbitMQ?

Latency 147
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Best practices for Fluent Bit 3.0

Dynatrace

Fluent Bit was created before Kubernetes existed when Internet of Things (IoT) was a new buzzword. Unfortunately, their market prediction wasn’t correct; the cloud became more successful than IOT. However, Fluent Bit was designed to be lightweight, multi-threaded, and run on edge devices. What’s new in Fluent Bit 3.0

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

VoltDB

Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. This shift will enable more autonomous and dynamic systems, reducing human intervention and enhancing efficiency.

IoT 52
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data. Polymorphic Data Storage. Major Use Cases.

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

VoltDB

Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: Limited storage capacity on edge devices. Leverage tiered storage systems that dynamically offload data based on priority.

IoT 52
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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

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Edge Data Platforms, Real-Time Services, and Modern Data Trends

DZone

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. This is especially important for applications that require real-time responses, such as autonomous vehicles, industrial IoT applications, or streaming media.

IoT 130