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IBM Using Analytics to Optimize Cloud Computing Performance and Cost Savings

IBM Using Analytics to Optimize Cloud Computing Performance and Cost Savings | L'Univers du Cloud Computing dans le Monde et Ailleurs | Scoop.it
Inventors at IBM have put together a patented technique that takes advantage of analytics to increase the performance of cloud computing service

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Peter Azzopardi's curator insight, December 15, 6:23 PM

IBM’s newest invention is able to automatically take cloud computing resources from different cloud centers, which allows clients to optimize their service performance and lower costs by reducing the amount of manual intervention needed in order to properly allocate software, hardware, and services on the cloud.

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INFOGRAPHIC: 5 Ways To Become Extinct As Big Data Evolves

INFOGRAPHIC: 5 Ways To Become Extinct As Big Data Evolves | L'Univers du Cloud Computing dans le Monde et Ailleurs | Scoop.it
The enterprise is currently in a ‘Big Data Limbo’, where leadership has begun, or is preparing to invest in analytics – but lacks clear direction with where and how to implement

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Peter Azzopardi's curator insight, November 21, 2013 6:34 PM

The technology is powerful, and like the moniker suggests, “Big Data” is massive, leaving some executives with the impression that for these projects to be successful, IT departments must ready themselves to boil the proverbial ocean.

Nancy C Xu's curator insight, November 22, 2013 12:47 PM

The case for understanding Big Data.

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INFOGRAPHIC: CIOs & BIG DATA: What Your IT Team Wants You To Know | CloudTweaks

INFOGRAPHIC: CIOs & BIG DATA: What Your IT Team Wants You To Know | CloudTweaks | L'Univers du Cloud Computing dans le Monde et Ailleurs | Scoop.it

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Olivier Vandelaer's curator insight, January 30, 2013 2:45 AM

Looking at the infographic, it clearly reminds me about the start of "Enterprise Data Warehouse": failures by "Innacurate scope", "Technical Roadblocks" & "Siloed data and no collaboration". It looks so familiar.

Tony Agresta's curator insight, January 30, 2013 10:15 AM

Very interesting infographic.  Why do they fail?  For all of the reasons above and then some...    Over 80% of the data being collected today is unstructured and not readily stored in relational database technology burdened by complex extract, transform and load.  There's also pre-existing data, sometimes referred to as "dark data" that includes documents which need to be included and made discoverable for a host of reasons - compliance and regulatory issues are one.   Log activity and e-mail traffic used to detect cyber threats and mitigate risk through analysis of file transfers is yet another set of data that requires immediate attention.

 

Social and mobile are clearly channels that need to be addressed as organizations continue to mine data from the open web in support of CRM, product alerts, real time advertising options and more.  

 

To accomplish all of this, organizations need a platform with enterprise hardened technology that can ingest all of these forms of data in real time, without having to write complex schemas.   Getting back to the point - What do most projects fail?   If companies attempt to do this with technology that is not reliable, not durable and does not leverage the skills of their existing development organization, the project will fail.  

 

We have seen this time and time again.   MarkLogic to the rescue.   With over 350 customers and 500 big data applications, our Enterprise NoSQL approach mitigates the risk.  Why?  Our technology stack includes connectors to Hadoop, integration with leading analytics tools using SQL, Java and Rest APIs, JSON support, real time data ingestion, the ability to handle any form of data, alerting, in database analytics functions, high availability, replication, security and a lot more.  

 

When you match this technology with a world-class services organization with proven implementation skills, we can guarantee your next Big Data project will work.  We have done it hundreds of times with the largest companies in the world and very, very big data.

 

www.marklogic.com



Adrian Carr's curator insight, January 30, 2013 10:27 AM

This is a great infographic - it shows that whilst everyone is doing it (it being "Big Data" - whatever that is...), talent is rare, technology is hard to find and the projects never end.  A far cry from the speed with which companies such as the BBC deployed MarkLogic to serve all data for the sport websites through the Olympics.  Now that was big data, delivered by a talented team in a short space of time.

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Made in IBM Labs: Creating Analytics "Express Lane" For Cloud Data

Made in IBM Labs: Creating Analytics "Express Lane" For Cloud Data | L'Univers du Cloud Computing dans le Monde et Ailleurs | Scoop.it
ARMONK, N.Y., Dec. 9, 2014 /PRNewswire/ -- IBM (NYSE: IBM) inventors have patented an invention that enhances...

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Peter Azzopardi's curator insight, December 11, 5:28 PM

The IBM invention, U.S Patent #8,639,809, "Predictive Removal Of Runtime Data Using Attribute Characterizing,"

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INFOGRAPHIC: From Big Data To Big Personalization

INFOGRAPHIC: From Big Data To Big Personalization | L'Univers du Cloud Computing dans le Monde et Ailleurs | Scoop.it
Data - The ever expanding internet data coupled with social and mobile infrastructure expansion has made big data analytics a buzz word,

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Peter Azzopardi's curator insight, June 24, 2013 5:15 PM

Good Infographic from Monetate but one should also check-out the links to the two articles listed, "Big Data Analytics" and "Big Data Analytics for Small Business".