A lire sur: http://www.cio.com/article/708621/Open_Source_Leading_the_Way_for_Big_Data_Applications?source=CIONLE_nlt_entapps_2012-06-25
The "big data" term has been used since 2009, but has quickly turned into the biggest thing to hit information technology since the virtualization craze of the last decade. Enterprises are awash with data, having amassed terabytes and even petabytes of information. When the amount of data in the world increases at an exponential rate, analyzing that data and producing intelligence from it becomes increasingly complex -- but no less important to the success of an organization.
By Bertrand Diard, co-founder, CEO of Talend
, Mon, June 18, 2012
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Network World
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This vendor-written tech primer has been edited by
Network World to eliminate product promotion, but readers should note it
will likely favor the submitter's approach.
Slideshow: 9 Open Source Big Data Technologies to Watch
The "big data" term has been used since 2009, but has quickly turned into the biggest thing to hit information technology since the virtualization craze of the last decade. Enterprises are awash with data, having amassed terabytes and even petabytes of information. When the amount of data in the world increases at an exponential rate, analyzing that data and producing intelligence from it becomes increasingly complex -- but no less important to the success of an organization. [Also see: "Could data scientist be your next job?"]
According to the research firm Wikibon, the big data market is on the verge of a growth spurt that will hit $50 billion worldwide within the next five years. Data volumes are growing to the point where companies are being forced to scale their infrastructure, and the traditional "scale up" technologies, legacy systems and licensing models are simply not working. From its onset, open source technology has been at the forefront of massive data management. Today, open source provides the most effective way to address such a large-scale problem and get the job done faster and more accurately at a fraction of the price of alternative solutions.
Open source data and analytics products are no longer the risky bets they once were. They are now integral to business, and a real alternative to proprietary software. With a strong foundation of underlying tools and technologies, open source has emerged as a compelling building block for robust, cost-effective enterprise applications and infrastructure. It has gone mainstream -- not just within the vendor community, but within customer organizations of all types and sizes.
The proof is in the numbers. In 2011, an estimated $672.8 million of venture capital was invested in open source-related vendors -- an increase of more than 48% from 2010, and the highest total amount invested in any year.
Innovation in a brand new world
Most of the new big data frameworks and databases have their roots in the open source world, where developers routinely create new approaches to problems that haven't hit mainstream. Companies that represent many of the biggest providers of online communication and data transactions -- Facebook, Yahoo, Amazon, Twitter and eBay, for example -- use and contribute to innovative, open development initiatives. The rate at which the importance and popularity of big data has grown can be directly attributed to open source.
Slideshow: 9 Open Source Big Data Technologies to Watch
The "big data" term has been used since 2009, but has quickly turned into the biggest thing to hit information technology since the virtualization craze of the last decade. Enterprises are awash with data, having amassed terabytes and even petabytes of information. When the amount of data in the world increases at an exponential rate, analyzing that data and producing intelligence from it becomes increasingly complex -- but no less important to the success of an organization. [Also see: "Could data scientist be your next job?"]
According to the research firm Wikibon, the big data market is on the verge of a growth spurt that will hit $50 billion worldwide within the next five years. Data volumes are growing to the point where companies are being forced to scale their infrastructure, and the traditional "scale up" technologies, legacy systems and licensing models are simply not working. From its onset, open source technology has been at the forefront of massive data management. Today, open source provides the most effective way to address such a large-scale problem and get the job done faster and more accurately at a fraction of the price of alternative solutions.
Open source data and analytics products are no longer the risky bets they once were. They are now integral to business, and a real alternative to proprietary software. With a strong foundation of underlying tools and technologies, open source has emerged as a compelling building block for robust, cost-effective enterprise applications and infrastructure. It has gone mainstream -- not just within the vendor community, but within customer organizations of all types and sizes.
The proof is in the numbers. In 2011, an estimated $672.8 million of venture capital was invested in open source-related vendors -- an increase of more than 48% from 2010, and the highest total amount invested in any year.
Innovation in a brand new world
Most of the new big data frameworks and databases have their roots in the open source world, where developers routinely create new approaches to problems that haven't hit mainstream. Companies that represent many of the biggest providers of online communication and data transactions -- Facebook, Yahoo, Amazon, Twitter and eBay, for example -- use and contribute to innovative, open development initiatives. The rate at which the importance and popularity of big data has grown can be directly attributed to open source.
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