Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. AWS IoT Things Graph. AWS Storage Gateway. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high quality models. Amazon Quantum Ledger Database (QLDB). Amazon Lex. Amazon Rekognition. AWS RoboMaker. Amazon Machine Learning. Amazon SageMaker. AWS OpsWorks.

AWS 279

AWS Cloud IoT Database 279

VoltDB

DECEMBER 11, 2024

Edge computing has transformed how businesses and industries process and manage data. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: Limited storage capacity on edge devices.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

OCTOBER 11, 2021

The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis. Image courtesy of Google.

Google 246

Google Cloud Serverless Azure 246

DZone

AUGUST 18, 2023

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. Edge data platforms are software solutions that enable businesses to collect, process, and analyze data at the edge of the network.

IoT 130

IoT Media Latency Storage 130

Scalegrid

JUNE 7, 2024

RabbitMQ is an open-source message broker that simplifies inter-service communication by ensuring messages are effectively queued, delivered, and processed across diverse applications. RabbitMQ allows web applications to create and place messages in a message queue for further processing.

IoT 130

IoT Software Architecture Architecture Scalability 130

Scalegrid

FEBRUARY 11, 2025

Whether you need a relational database for complex transactions or a NoSQL database for flexible data storage, weve got you covered. By leveraging DBMS, organizations can streamline their data management processes, making handling everything from simple data entry to complex data analysis easier.

Scalability 147

Scalability Database Storage IoT 147

All Things Distributed

DECEMBER 13, 2016

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. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 154

AWS Cloud Artificial Intelligence IoT 154

Dynatrace

SEPTEMBER 30, 2021

You will learn how to use AWS services ranging from collection (for example, Amazon Kinesis and AWS IoT Core) to storage (for example, S3 + Glacier and DynamoDB) to processing (for example, AWS Lambda and Amazon ML) and beyond. Machine learning. The post Carving an AWS certification path appeared first on Dynatrace blog.

AWS 246

AWS Best Practices Cloud Analytics 246

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

Scalegrid

JUNE 28, 2024

It is widely utilized across various industries, such as finance, telecommunications, and e-commerce, for managing activities, including transaction processing, data streaming, and instantaneous messaging. RabbitMQ’s versatile use cases range from web application backend services and distributed systems to PDF processing.

IoT 130

IoT Healthcare Programming Open Source 130

All Things Distributed

MAY 10, 2016

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 91

Lambda Serverless AWS Architecture 91

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 102

Lambda Cloud IoT AWS 102

All Things Distributed

JUNE 10, 2016

The specific example application provided in this repository enables users to upload photos and notes using Amazon Simple Storage Service (Amazon S3) and Amazon API Gateway respectively. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 86

Lambda Serverless AWS Architecture 86

SQL Server According to Bob

MAY 19, 2019

With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. SQL Server can elect to use a parallel query to process the request.

IoT 61

IoT Servers Development Cache 61

All Things Distributed

JUNE 7, 2017

This is because data gets more valuable when it can be processed together with other data. At the same time, it can be valuable to process some data right at the source where it is generated. When you can't address scenarios such as these, the value of data you don't process is lost. Law of the Land.

AWS 87

AWS IoT Lambda Storage 87

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT. The heavy lifting is deferred to the back office.

IoT 78

IoT Big Data Analytics Architecture 78

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 166

Database AWS Games Latency 166

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. This much is openly acknowledged by the authors.

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 112

Cloud Big Data AWS Analytics 112

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. Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage.

Energy 130

Energy Latency Performance Network 130

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. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data. Let’s build groundbreaking innovations together.

AWS 77

AWS Cloud Healthcare Blockchain 77

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. We push as much data processing as possible onto warehouse-scale computers and systems software. Industrial IoT use cases are an example here. Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

MARCH 11, 2015

From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics. All of this while cutting their datawarehouse cost by 80%.

Analytics 107

Analytics Cloud Healthcare Retail 107

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

VoltDB

JUNE 26, 2024

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating.

Blockchain 59

Blockchain IoT Development Serverless 59

VoltDB

SEPTEMBER 10, 2024

Industrial IoT (IIoT) really means making industrial devices work together so they can communicate better for the sake of ultimately improving data analytics, efficiency, and productivity. Typically, this involves using software and data virtualization tools to aggregate data from different databases, applications, and storage repositories.

IoT 52

IoT Architecture Scalability Analytics 52

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Helps media apps on the web save battery when doing video processing. Coordination APIs allow applications to save memory and processing power (albeit, most often in desktop and tablet form-factors). Where Chrome Has Lagged. They may have shipped in iOS 14.5

Media 145

Media Games Education Engineering 145

Tech News Gather

JULY 19, 2023

Smart home automation is the process of automating your house by using Internet of Things (IoT) devices to manage your lights, appliances, HVAC, entertainment, security cameras, and alarms, and other sensors for things like water or gas leaks. During the registration process, the user must choose a unique username and password.

Wireless 52

Wireless Development IoT Internet 52

ACM Sigarch

DECEMBER 6, 2018

Orchestrate the processing flow across an end-to-end infrastructure. Generative models process information and multiple hundreds of times per iteration to generate multiple possible pixel value proposals before choosing the most appropriate results. For many IoT applications involving wireless video sensors (e.g.

Wireless 55

Wireless IoT Analytics Architecture 55

O'Reilly

DECEMBER 16, 2019

Gem and Tierion are startups working different aspects of data storage, verification and sharing (both partnered with Philips Healthcare), while Hu-manity.co The technology is being targeted as a way to detect fraud, improve the efficiency of claims processing, and simplify the flow of data and payments between insurers and reinsurers.

Blockchain 72

Blockchain Retail Innovation Healthcare 72

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The following diagram shows the evolution of in-memory computing from distributed caching to stream-processing with real-time digital twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 40

Programming IoT Java Analytics 40

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. 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

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. 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