ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. 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.

Logistics 52

Logistics Retail Analytics Azure 52

The Morning Paper

OCTOBER 4, 2020

There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

O'Reilly

DECEMBER 2, 2019

So what about industrial IoT (IIoT), and sensors that can be built into a sticker and slapped on to machinery? Regardless of power consumption, I’m not convinced we’ll have lots of IoT devices shipping data back to their respective motherships. Radar data points: Recent research and analysis. That’s the real promise of 5G.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 221

Google Cloud Serverless Azure 221

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

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. With Amazon EFS, there is no minimum fee or setup costs, and customers pay only for the storage they use.

Lambda 122

Lambda Cloud IoT AWS 122

ACM Sigarch

DECEMBER 6, 2018

To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. Architectural research in these areas remains traditionally focused on the analysis of object detection and recognition algorithms (e.g. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

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

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). According to Ericsson’s analysis, international mobile data traffic is projected to become 4.5 Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. Internet of Things (IoT).

Blockchain 59

Blockchain IoT Development Serverless 59

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

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. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 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

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB.

Database 167

Database AWS Games Latency 167