CIO Business Intelligence

MARCH 14, 2022

It is also the foundation of predictive analysis, artificial intelligence (AI), and machine learning (ML). It also requires hard drives to provide reliable long-term storage. Technology such as load-balancing ensures that all resources in a cluster are doing approximately the same amount of work.

Data 116

Data Artificial Intelligence Intel Data Center 116

Fountainhead

JUNE 29, 2009

HPQ & CSCO: Analysis of New Blade Environments. HPs BladeSystem Matrix architecture is based on VirtualConnect infrastructure, and bundled with a suite of mostly existing HP software (Insight Dynamics - VSE, Orchestration, Recovery, Virtual Connect Enterprise Manager) which itself consists of about 21 individual products. Fountainhead.

Analysis 147

Analysis HP Data Center Virtualization 147

Linux Academy

FEBRUARY 26, 2019

Hadoop Quick Start — Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be otherwise impossible with traditional data systems. So if you ever wanted to learn the basics of working with Git, this is the course for you.

Linux 80

Linux Big Data Course Devops 80

Dataconomy

APRIL 28, 2023

Understanding machine learning deployment architecture Machine learning model deployment architecture refers to the design pattern or approach used to deploy a machine learning model. Dedicated Model API architecture, where a separate API is created specifically for the model and serves as an interface for model interaction.

Tools 77

Tools Open Source Architecture Applications 77

Scott Lowe

NOVEMBER 28, 2016

One offering in particular that Williams calls out is Amazon Aurora, a MySQL-compatible offering that has automatic storage scaling, read replicas, continuous incremental backups to S3, and 6-way replication across availability zones. This sort of architecture gets you greater scale as well as greater redundancy and fault tolerance.

Load Balancer 60

Load Balancer Applications Architecture SOA 60

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. From CPU to GPU. General Purpose GPU programming.

Architecture 136

Architecture Programming Web Services Applications 136