Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Everything is customizable. Amazon EMR.

AWS 133

AWS Metrics IoT Storage 133

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Besides that, these apps do well in areas with a slow internet connection. So it is convenient for all to use irrespective of internet speed and it works offline using cached data. A few years ago, The dark mode was first introduced, but from 2020 through 2021 has gained immense popularity.

Blockchain 59

Blockchain IoT Development Serverless 59

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. This combination helps you improve the parallelism, scalability, and predictive accuracy of your Greenplum machine learning deployment. At a glance – TLDR. The Greenplum Architecture. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. They believe that they have reduced development time from 20 to 30 percent by having done so.

AWS 146

AWS Logistics Cloud Social Media 146

All Things Distributed

JUNE 10, 2016

By combining AWS Lambda with other AWS services, developers can build powerful web applications that automatically scale up and down and run in a highly available configuration across multiple data centers—with zero administrative effort required for scalability, backups, or multi–data center redundancy.

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

By combining AWS Lambda with other AWS services, developers can build powerful web applications that automatically scale up and down and run in a highly available configuration across multiple data centers—with zero administrative effort required for scalability, backups, or multi–data center redundancy.

Lambda 105

Lambda Serverless AWS Architecture 105

All Things Distributed

JULY 14, 2015

In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. I have heard from many of you that one of the common challenges you have is keeping DynamoDB data in sync with other data sources, such as search indexes or data warehouses.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. The new AWS EU (Stockholm) Region will have three Availability Zones and will be ready for customers to use in 2018.

AWS 116

AWS Airlines Latency Games 116

All Things Distributed

APRIL 9, 2015

Amazon ML uses powerful algorithms that can help you create machine learning models by finding patterns in existing data, and using these patterns to make predictions from new data as it becomes available. Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.

Lambda 122

Lambda Cloud IoT AWS 122

ScaleOut Software

MAY 19, 2020

For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Instead, it needs to be combined with knowledge of each person’s age, health, medications, and activity to determine when an alert should be generated. The ScaleOut Digital Twin Streaming Service is available now.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

For example, heart-rate telemetry from a smart watch cannot be effectively evaluated in isolation. Instead, it needs to be combined with knowledge of each person’s age, health, medications, and activity to determine when an alert should be generated. The ScaleOut Digital Twin Streaming Service is available now.

Logistics 52

Logistics IoT Analytics Azure 52

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

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. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52