Scalegrid

MAY 13, 2020

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. So who’s using Greenplum today?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

JUNE 1, 2020

Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. User Experience and Business Analytics ery user journey and maximize business KPIs. That’s why we extended the Dynatrace platform to the edge device and API.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Adrian Cockcroft

NOVEMBER 30, 2020

This includes physical asset risk from things like sea level rise and extreme weather events, as well as market changes from customers deciding to buy more sustainable products, and economic risk as the world economy is impacted by climate change. AWS at the edge: Using AWS IoT to optimize Amazon wind farms AES22 ?—?Climate

AWS 52

AWS Artificial Intelligence IoT Energy 52

Adrian Cockcroft

NOVEMBER 30, 2020

This includes physical asset risk from things like sea level rise and extreme weather events, as well as market changes from customers deciding to buy more sustainable products, and economic risk as the world economy is impacted by climate change. charity: water and Twisthink keep water flowing with AWS IoT ZBF206 ?—?Automating

AWS 52

AWS IoT Open Source Government 52

All Things Distributed

JUNE 10, 2016

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Dynatrace

JUNE 1, 2020

Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. User Experience and Business Analytics ery user journey and maximize business KPIs. That’s why we extended the Dynatrace platform to the edge device and API.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub.

Azure 149

Azure Open Source Transportation IoT 149

Testsigma

DECEMBER 8, 2019

Hyper Automation, DevTestOps Bringing Automation to the testing of different types of devices and experiences – IoT and Multi Experience Autonomous Test Automation Making Automation more Human-Friendly – Democratization. IoT Test Automation. IoT or Internet of Things is an example of that. Autonomous Test Automation.

IoT 78

IoT Software Software Artificial Intelligence 78

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. 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.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. 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.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. 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

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. AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that.

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

MAY 3, 2017

Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. And control is not the only change: IoT creates many new data streams that, through cloud analytics, provide companies with much deeper insight into their operations and customer engagement.

Logistics 72

Logistics IoT Analytics Innovation 72

Alex Russell

APRIL 29, 2021

Pointer Events. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data. It was delayed by iOS for five years. CSS Custom Paint.

Media 145

Media Games Education Engineering 145

All Things Distributed

MARCH 11, 2015

By using Amazon Redshift they are able to process 120m unique events per day and integrate their internal logs with external data sources, which is helping to create a more dynamic paper for their readers. Often when we think about the Internet of Things (IoT) we focus on what this will mean for the consumer.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

JUNE 1, 2021

When this happens, it becomes more difficult to find the most important events taking place within your application infrastructure. Experience and outcomes matter, whether the application is mobile app-to-user, IoT device-to-customers, or a web application behind the scenes. Cloud-native apps also produce many kinds of data.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

DECEMBER 17, 2021

But the situation changed, and today HMI is an integral part of many devices we use daily — mobile phones, smartwatches, IoT devices, and even cars. While there are many reasons why people do what they do, the primary motivator is efficiency. Music, Places And Events. Help Users With Daily Routine.

Design 107

Design Entertainment Mobile Automotive 107