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The Need for Real-Time Device Tracking

ScaleOut Software

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78
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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

For re:Invent 2021 my team (but mostly Elise Greve) persuaded the re:Invent organizers to include Sustainability as a track code, and that was repeated for 2022 and now for 2023. Open source geospatial AI/ML analysis, along with IoT-connected sensors, can provide near real-time data platforms built in the cloud and assist decision-making.

AWS 52
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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167