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

JUNE 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

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. This enables immediate, focused insights that enhance situational awareness.

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. This enables immediate, focused insights that enhance situational awareness.

Logistics 52

Logistics IoT Analytics Azure 52

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Cloud 213

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. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,

Database 167

Database Lambda AWS IoT 167

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. 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. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective.

Lambda 122

Lambda Cloud IoT AWS 122

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