All Things Distributed

JULY 14, 2015

Enter DynamoDB Triggers—an event-driven mechanism that enables developers to define Java or JavaScript functions that run outside the database in response to specific data changes in your DynamoDB tables. You can also use triggers to power many modern Internet of Things (IoT) use cases. Summing It All Up.

Database 156

Database Lambda AWS IoT 156

All Things Distributed

APRIL 9, 2015

Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). Synchronous requests allow mobile and IoT apps to move data transformations and analysis to the cloud and make it easy for any application or web service to use Lambda to create back-end functionality. More details on the AWS Blog.

Lambda 102

Lambda Cloud IoT AWS 102

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

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. Here are the benefits of a comprehensive platform, with customer examples: A connected platform to sense the business environment.

AWS 77

AWS Cloud Healthcare Blockchain 77

The Polyglot Developer

FEBRUARY 5, 2018

Last year I had worked on an interesting project at my day job, Couchbase , where I scanned for BLE iBeacon devices from a few Raspberry Pi IoT devices and uploaded the information to a remote server for analysis. I wrote about this experiment in an article titled, Collecting iBeacon Data with Couchbase and Raspberry Pi IoT Devices.

IoT 40

IoT Java Internet Internet 40

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

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. App Security.

Development 52

Development Mobile Java C++ 52

ScaleOut Software

DECEMBER 10, 2019

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. Others include fleet and traffic management, healthcare, financial services, IoT, and e-commerce recommendations.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

AUGUST 20, 2020

Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript).

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript).

Cloud 52

Cloud Development Analytics Azure 52

Apica

OCTOBER 29, 2019

including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. including iPhones/ mobile devices, set-top boxes, game stations, and IoT devices. Support a wide variety of devices and application types –The platform should be optimized to support multiple devices, implementations, and Operating Systems.

Performance Testing 40

Performance Testing Testing Performance Software 40

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

Scalability 40

Scalability Cache Airlines Ecommerce 40

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

Scalability 40

Scalability Cache Airlines Ecommerce 40

VoltDB

JUNE 21, 2024

If you can express your logic or decision-making process in Java, then you can do it in Volt, and even if you can’t, you can still use Volt to efficiently manage the interaction between a real-world event and your AI engine. Contact us to learn more about how we enable enterprises to monetize their AI/ML data.

Speed 52

Speed Engineering Media Java 52