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Harmonizing Space, Time, and Semantics: Navigating the Complexity of Geo-Distributed IoT Databases

DZone

In the era of the Internet of Things ( IoT) , the continuous influx of spatial and temporal data from interconnected devices has given rise to a vast and intricate landscape, demanding a sophisticated approach to database management.

IoT 278
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AnyLog: a grand unification of the Internet of things

The Morning Paper

AnyLog: a grand unification of the Internet of Things , Abadi et al., Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. CIDR’20. It just happens to be an initial use case that fits well with the AnyLog model.

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Towards a Reliable Device Management Platform

The Netflix TechBlog

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In-Order Processing The semantics of correct device information updates ingestion requires that messages be consumed in the order that they are produced.

Latency 213
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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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

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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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

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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. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321