Scalegrid

MAY 13, 2020

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Jason Lowe-Power (UC Davis) discussed smart memory management and the need for an efficient interface for it. Meta TPP).

Latency 52

Latency Hardware Cache Architecture 52

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100

Education AWS Software Engineering Scalability 100

Testsigma

MAY 14, 2021

However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. All environments/ resources are available 24*7.

Cloud 67

Cloud Testing Testing Tools Internet 67

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It works without having to identify training data, then training and honing. A huge advantage of this approach is speed.

DevOps 198

DevOps Artificial Intelligence Healthcare Innovation 198

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. What is AIOps?

Artificial Intelligence 214

Artificial Intelligence DevOps Innovation Metrics 214

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 208

Java Scalability Traffic Architecture 208

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

DECEMBER 12, 2018

Today, I'm happy to announce that the AWS Europe (Stockholm) Region, our 20th Region globally, is now generally available for use by customers. With this launch, AWS now provides 60 Availability Zones, with another 12 zones and four Regions expected to come online by 2020 in Bahrain, Cape Town, Hong Kong, and Milan.

AWS 124

AWS Cloud Games Serverless 124

Highly Scalable

MARCH 10, 2015

The space of possible actions can be defined as a set of send/no-send decisions with regard to individual customers and the gross margin of the campaign depends both on actions (who will receive the incentive and who will not) and data such as expected revenue from a given customer and mailing costs. Problem 2 : Recommendations.

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

JULY 29, 2019

Read “ Efficiently load JavaScript with defer and async ” for more information. It’s difficult to detect if someone on a desktop is on a broadband connection or is tethering through a data-limited dongle or mobile. Unfortunately, Opera Mini is no longer available on iOS in the UK. This saves up to 60% of data.

Cache 97

Cache Google Mobile Network 97