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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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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. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Google or Adobe Analytics).

Analytics 286
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Its architecture supports stream transformations, joins, and filtering, making it a powerful tool for real-time analytics. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

Side note: it’s called “agentless,” because no OneAgent is running on the server that hosts the HTML, CSS, and JavaScript files. In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. Now we have performance and errors all covered: Business Analytics. BizOpsConfigurator.

Analytics 200
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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

Edge computing involves processing data locally, near the source of data generation, rather than relying on centralized cloud servers. The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential.

IoT 52
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How digital experience monitoring helps deliver business observability

Dynatrace

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. PC, smartphone, server) or virtual (virtual machines, cloud gateways).