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. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.
CTOvision
DECEMBER 11, 2015
Each cloud computing provider has “opinionated” ways of handling things such as load balancing, elastic scaling, service discovery, data access, and security to name just a few. Cloud architectures hold great promise in the ability to promote applications to new heights in ubiquity and scale.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloud Musings
DECEMBER 11, 2015
When it comes to big data analytics, Teradata delivers these Platform-as-a-Service advantages by delivering industry andbusiness process aligned components within their PaaS. The elasticity of cloud architecture enables the company to lease additional nodes within a few days.
Fountainhead
JUNE 2, 2009
The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips. Does it sound like Amazons recent CloudWatch, Auto-Scaling and Elastic Load Balancing announcement? Big Data. (6).
Fountainhead
JUNE 29, 2009
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. Big Data. (6). Data Center efficiency. (1).
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.
Fountainhead
OCTOBER 6, 2009
A specific angle I want to address here is that of infrastructure automation ; that is, the dynamic manipulation of physical resources (virtualized or not) such as I/O, networking, load balancing, and storage connections - Sometimes referred to as "Infrastructure 2.0". a Fabric), and network switches, load balancers, etc.
Expert insights. Personalized for you.
80 
Let's personalize your content