ScaleOut Software

JULY 14, 2021

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

IoT Azure Analytics Serverless 52

Tech News Gather

SEPTEMBER 7, 2022

For instance, iPhone uses Swift or Objective C for development whereas, for Android app development, it uses Java or Kotlin as its programming language. There, when Objective C, Swift, Java, and Kotlin are mixed with their corresponding devices, they are deemed native languages. Scalability. Native Module Support. App Security.

Development 52

Development Mobile Java C++ 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

ScaleOut Software

MAY 19, 2020

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

This approach refactors and simplifies application code (which can be written in standard Java, C#, or JavaScript) to just focus on a single data source, introspect deeply, and better predict important events.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. In the above power grid example, the code needed only consists of a few lines of Java code which embed a set of rules for interpreting state changes from a node in the power grid. We invite you to check it out.

Code 52

Code Analytics Healthcare IoT 52