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Kubernetes in the wild report 2023

Dynatrace

The report also reveals the leading programming languages practitioners use for application workloads. are the top 3 programming languages for Kubernetes application workloads. Kubernetes hosting decisions are guided by a set of parameters, including cost, ease of provisioning and scaling, data security, and regulatory compliance.

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The Need for Real-Time Device Tracking

ScaleOut Software

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78
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Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

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Track Thousands of Assets in a Time of Crisis Using Real-Time Digital Twins

ScaleOut Software

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

How does a data lakehouse work? Data lakehouses typically provide support for data ingestion through a variety of methods. These include application programming interfaces, streaming, and more. This data lands in its original, raw form without requiring schema definition. Data management. Data warehouses.

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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.