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IBM to Acquire Cloudant: Open, Cloud Database Service Helps Organizations Simplify Mobile, Web App and Big Data Development

CTOvision

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives.

IBM 268
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Enhancing AI projects with advanced cloud GPU servers

Dataconomy

Big data analysis is another area where advanced cloud GPU servers excel. The ability to process vast datasets quickly and efficiently allows businesses to extract insights and make data-driven decisions with greater speed and accuracy.

Cloud 45
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Fountainhead: HPQ & CSCO: Analysis of New Blade Environments

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. HPQ & CSCO: Analysis of New Blade Environments. However, in the software domain, each still relies on multiple individual products to accomplish tasks such as SW provisioning, HA/availability, VM management, load balancing, etc. Big Data. (6).

Analysis 147
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What’s Free at Linux Academy — March 2019

Linux Academy

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.

Linux 80
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Fountainhead: CA's Acquisition of Cassatt - Hindsight & Foresight

Fountainhead

Insights into Data Center Infrastructure, Virtualization, and Cloud Computing. Today I read the press release and Gordon Haffs analysis that Computer Associates has acquired Cassatt -- a former employer of mine. Does it sound like Amazons recent CloudWatch, Auto-Scaling and Elastic Load Balancing announcement? Big Data.

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The parallel universe of computing: How multiple tasks happen simultaneously?

Dataconomy

Parallel processing can help to improve the performance of these applications by distributing tasks among multiple processors and reducing the processing time required to render graphics or process multimedia data. This can lead to poor performance and reduced efficiency, especially in large-scale systems.

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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

As each of these programs was becoming more complex and demand for new operations such as geometric processing increased, the GPU architecture evolved into one long feed-forward pipeline consisting of generic 32-bit processing units handling both task and data parallelism. Driving down the cost of Big-Data analytics.