Big Data
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Rescooped by Jean-Michel VOLAT from @tguemes on Big Data
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RapidMiner Scoops Up Radoop For Hadoop Analytics Processing | TechCrunch

RapidMiner Scoops Up Radoop For Hadoop Analytics Processing | TechCrunch | Big Data | Scoop.it
RapidMiner, a big data analytics startup, purchased former partner Radoop, giving it Hadoop processing and access to the Radoop team's Hadoop expertise. They..

Via Celestino Güemes
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Rescooped by Jean-Michel VOLAT from Open Research & Learning
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OpenStack Open Source Cloud Computing Software

OpenStack Open Source Cloud Computing Software | Big Data | Scoop.it

"OpenStack OpenStack is a global collaboration of developers and cloud computing technologists producing the ubiquitous open source cloud computing platform for public and private clouds. The project aims to deliver solutions for all types of clouds by being simple to implement, massively scalable, and feature rich. The technology consists of a series of interrelated projects delivering various components for a cloud infrastructure solution." from source: http://www.openstack.org/


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ghbrett's curator insight, March 23, 2013 5:48 AM

While MOOCs are a major topic these days. Big Data is near the top of the "What's Hot This Year" list for academia, research, government and business. OpenStack is  a solution from NASA and RackSpace to create an open source solution for many types of clouds to provide interoperability of search, retrieve, data, and content across differing cloud platforms or instances.

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Unités de stockage de l'information : le bit et le kilo méga giga et téra octet

http://www.hotosting.com/cresite/ - Ce cours d'initiation aux unités de stockage de l'information est dédié au bit, à l'octet, au mégaoctet, au gigaoctet et ...
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Optimal Data Center (ODC) - Le confinement d'allée à géométrie variable ...

Confinements sur mesure, modulaires redimensionnables en exploitation L'implantation des confinements sur des allées multiconstructeurs (toutes tailles de ra...
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Harvesting Big Data: How Farm Fields Boost Data Center Demand - Data Center Knowledge

Harvesting Big Data: How Farm Fields Boost Data Center Demand - Data Center Knowledge | Big Data | Scoop.it
Data Center Knowledge
Harvesting Big Data: How Farm Fields Boost Data Center Demand
Data Center Knowledge
Data is permeating everything we do.
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A Closer Look into the Future Big Data Ecosystem | SmartData Collective

A Closer Look into the Future Big Data Ecosystem | SmartData Collective | Big Data | Scoop.it
A new big data infographic issued by IDC and sponsored by SAP shows that in the coming years 90% of IT industry growth will be driven by 3rd platform technologies. The worldwide big data market will grow by almost 32% by 2016.
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Rescooped by Jean-Michel VOLAT from @tguemes on Big Data
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FTC Says Data Brokers Need To Make Their Information Trove Clearer To Consumers | TechCrunch

FTC Says Data Brokers Need To Make Their Information Trove Clearer To Consumers | TechCrunch | Big Data | Scoop.it
Big data and the growth of services that help us make sense of it are some of the more fascinating developments of our connected world, but in some cases..

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NTT Communications Tokyo No. 6 Data Center

Launched in April 2013. The largest scale-data center in Tokyo which features disaster-resistant high-grade facilities, high cost performance and advanced gr...
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Rescooped by Jean-Michel VOLAT from business and industry related market research
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Global Cloud-based ITSM Market 2014-2018 13253 - Sandler Research

Global Cloud-based ITSM Market 2014-2018 13253 - Sandler Research | Big Data | Scoop.it
TechNavio’s analysts forecast the Global Cloud-based ITSM market to grow at a CAGR of 16.82 percent over the period 2013-2018. One of the key factors contributing to this market growth is the in...

Via steve moore
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steve moore's curator insight, February 12, 2014 3:27 PM

        

Analysts forecast the Global Cloud-based ITSM market to grow at a CAGR of 16.82 percent over the period 2013-2018. One of the key factors contributing to this market growth is the increasing demand for economical ITSM solutions. The Global Cloud-based ITSM market has also been witnessing the increasing use of personal devices in the workplace. However, the integration concerns with existing ITSM services could pose a challenge to the growth of this market.

Global Cloud-Based ITSM Market 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, and the Europe, APAC and MEA regions; it also covers the Global cloud-based ITSM market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors dominating this space are BMC Software, Inc., CA Technologies Inc., Hewlett-Packard Co., IBM Corp., and ServiceNow Corp.

Other vendors mentioned in the report are Axios Systems plc, Cherwell Software LLC, EasyVista Inc., EMC Corp., FrontRange Solutions Inc., Hornbill Service Management Ltd., LANDesk Software Inc., Sunrise Software Ltd., SunView Software Inc., SysAid Technologies Ltd., TechExcel Ltd., and Vivantio Ltd.

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Philip Evans: How data will transform business

What does the future of business look like? In an informative talk, Philip Evans gives a quick primer on two long-standing theories in strategy — and explain...
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Why some IT Equipment Racks Need High Power Deployments

Why some IT Equipment Racks Need High Power Deployments | Big Data | Scoop.it
As your data center continues to grow -- it'll be important to understand why some of your IT equipment racks may need high power deployments.
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Rescooped by Jean-Michel VOLAT from Big Data Technology, Semantics and Analytics
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Big Data & Predictive Analytics | SmartData Collective

Big Data & Predictive Analytics | SmartData Collective | Big Data | Scoop.it
Predictive analysts usually think of doing predictive modeling on structured data pulled from a database.

Via Tony Agresta
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Tony Agresta's curator insight, June 25, 2013 1:04 PM

This article covers some important information about predictive analysis.  The definition around the "unit of analysis" and the use of unstructured data as inputs to models are two. 


The article does not touch on how big data platforms can enhance the modeleing process.  When it comes to really big data, the exercise of building and deploying predictive models may be best suited to a platform approach.  Key ingredients would includ:


  • Hadoop to preprocess the data
  • Semantic enrichment of content
  • Real time indexing and scoring allowing business users to get instant access to results
  • Search applications that use model scores displayed with other relevant data to create a richer search experience
  • In-database analytics
  • Tools to pump data in and out of the database
  • Application services to quickly build applications that use the scores.  


There’s more to predictive modeling than just the modeling technology.  Optimizing the entire process may require the use of an Enterprise NoSQL database and platform.  This could end up being a very valuable part of your technology stack.  Applying this in support of data discovery, business intelligence and predictive analytics will improve chances of success,


There's a good video on this topic here:  Analytics and Information Products