ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 19, 2020

Borrowed from its use in the field of product life-cycle management, real-time digital twins host application code that analyzes incoming telemetry (event messages) from each individual data source and maintains dynamically evolving information about the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Borrowed from its use in the field of product life-cycle management, real-time digital twins host application code that analyzes incoming telemetry (event messages) from each individual data source and maintains dynamically evolving information about the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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.

Logistics 52

Logistics Retail Analytics Azure 52

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Provides support for "unread counts", e.g. for email and chat programs. Enable developers to compress data efficiently without downloading large amounts of code to the browser.

Media 145

Media Games Education Engineering 145

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. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 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. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 40

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

APRIL 9, 2015

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Details on the AWS Blog. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122