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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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The Internet of (Secure) Things – Embedding Security in the IoT

CTOvision

We’re seeing a glimmer of the future – the Internet of Things (IoT) – where anything and everything is or contains a sensor that can communicate over the network/Internet. Your running shoe tracks your workouts, sending the data to a mobile app. You can opt-in to smart metering so that a utility can load balance energy distribution.

Internet 283
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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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Teradata: Embrace the Power of PaaS

Cloud Musings

Figure 1 - Through the "Enhanced Services" layer, the Teradata PaaS advantage delivers industry and business process aligned components. 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.

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Fountainhead: New AWS enable "Real" Elastic Clouds

Fountainhead

It provides customers with visibility into resource utilization, operational performance, and overall demand patterns—including metrics such as CPU utilization, disk reads and writes, and network traffic. Similarly, Egeneras PAN Manager approach dynamically load-balances networking traffic between newly-created instances of an App.

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

Fountainhead

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).