The rapidly evolving Internet-of-Things (IoT) ecosystem has become a prime area of interest for emerging pharmaceutical and healthcare technology firms. The availability of low-cost ARM-based portable computing devices coupled with high-speed networks for information exchange has revolutionized the IoT sector.
At the core of most high-performance RxDataScience applications is a low-latency streaming NoSQL database with low-level hardware interfaces developed with the specific aim of optimizing the process of analyzing data. By leveraging the NoSQL layer, RxDataScience can process data from scores of smart devices with sub-second latency.
Capable of ingesting up to 50 TB of data, the platform can provide real-time analysis on critical scientific measurements. The platform is available as an on-demand SaaS application so that organizations can scale up without high upfront investments. Further, built-in advanced compression and a low-latency columnar data storage combined with a sophisticated cloud architecture enables querying vast amounts of both real-time and historic data on a single unified interface.
The standard workflow for data processing involves:
Key Features
Industry 4.0 (e.g. IoT and sensors) is providing a unique opportunity to connect and get real time insights from the execution level including manufacturing, quality, and logistics.
Use Case - Combining Static Data & Streaming Data from Wearable, Connected Devices in a unified platform to perform real-time predictive analytics & prevent adverse events proactively
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