Megaupload founder offers to fly to US to face piracy charges

Kim Dotcom has offered to travel to the US of his own volition to face charges over alleged copyright infringements related to his now defunct Megaupload cloud storage service.

Under house arrest in Christchurch, New Zealand since February, the German national, who has previously opposed extradition attempts made by US prosecutors, offered terms to the Department of Justice over Twitter.

“Hey DOJ (Department of Justice), we will go to the US. No need for extradition,” he wrote. “We want bail, funds unfrozen for lawyers & living expenses.”

Along with a three other Megaupload employees, Dotcom faces numerous charges, including money laundering, racketeering, fraud and online copyright theft, centring on the claim that the group made $175m since 2005 through the copying and distribution of pirated content. If found guilty, the group members face up to 20 years behind bars.

Last month CloudTech reported that a New Zealand court had discovered legal …

NextBio, Intel Collaborate to Optimize Hadoop for Genomics Big Data

Image representing nextbio as depicted in Crun...

NextBio and Intel announced today a collaboration aimed at optimizing and stabilizing the Hadoop stack and advancing the use of Big Data technologies in genomics. As a part of this collaboration, the NextBio and Intel engineering teams will apply experience they have gained from NextBio’s use of Big Data technologies to the improvement of HDFS, Hadoop, and HBase. Any enhancements that NextBio engineers make to the Hadoop stack will be contributed to the open-source community. Intel will also showcase NextBio’s use of Big Data.

“NextBio is positioned at the intersection of Genomics and Big Data. Every day we deal with the three V’s (volume, variety, and velocity) associated with Big Data – We, our collaborators, and our users are adding large volumes of a variety of molecular data to NextBio at an increasing velocity,” said Dr. Satnam Alag, chief technology officer and vice president of engineering at NextBio. “Without the implementation of our algorithms in the MapReduce framework, operational expertise in HDFS, Hadoop, and HBase, and investments in building our secure cloud-based infrastructure, it would have been impossible for us to scale cost-effectively to handle this large-scale data.”

“Intel is firmly committed to the wide adoption and use of Big Data technologies such as HDFS, Hadoop, and HBase across all industries that need to analyze large amounts of data,” said Girish Juneja, CTO and General Manager, Big Data Software and Services, Intel. “Complex data requiring compute-intensive analysis needs not only Big Data open source, but a combination of hardware and software management optimizations to help deliver needed scale with a high return on investment. Intel is working closely with NextBio to deliver this showcase reference to the Big Data community and life science industry.”

“The use of Big Data technologies at NextBio enables researchers and clinicians to mine billions of data points in real-time to discover new biomarkers, clinically assess targets and drug profiles, optimally design clinical trials, and interpret patient molecular data,” Dr. Alag continued. “NextBio has invested significantly in the use of Big Data technologies to handle the tsunami of genomic data being generated and its expected exponential growth. As we further scale our infrastructure to handle this growing data resource, we are excited to work with Intel to make the Hadoop stack better and give back to the open-source community.”


NextBio, Intel Collaborate to Optimize Hadoop for Genomics Big Data

Image representing nextbio as depicted in Crun...

NextBio and Intel announced today a collaboration aimed at optimizing and stabilizing the Hadoop stack and advancing the use of Big Data technologies in genomics. As a part of this collaboration, the NextBio and Intel engineering teams will apply experience they have gained from NextBio’s use of Big Data technologies to the improvement of HDFS, Hadoop, and HBase. Any enhancements that NextBio engineers make to the Hadoop stack will be contributed to the open-source community. Intel will also showcase NextBio’s use of Big Data.

“NextBio is positioned at the intersection of Genomics and Big Data. Every day we deal with the three V’s (volume, variety, and velocity) associated with Big Data – We, our collaborators, and our users are adding large volumes of a variety of molecular data to NextBio at an increasing velocity,” said Dr. Satnam Alag, chief technology officer and vice president of engineering at NextBio. “Without the implementation of our algorithms in the MapReduce framework, operational expertise in HDFS, Hadoop, and HBase, and investments in building our secure cloud-based infrastructure, it would have been impossible for us to scale cost-effectively to handle this large-scale data.”

“Intel is firmly committed to the wide adoption and use of Big Data technologies such as HDFS, Hadoop, and HBase across all industries that need to analyze large amounts of data,” said Girish Juneja, CTO and General Manager, Big Data Software and Services, Intel. “Complex data requiring compute-intensive analysis needs not only Big Data open source, but a combination of hardware and software management optimizations to help deliver needed scale with a high return on investment. Intel is working closely with NextBio to deliver this showcase reference to the Big Data community and life science industry.”

“The use of Big Data technologies at NextBio enables researchers and clinicians to mine billions of data points in real-time to discover new biomarkers, clinically assess targets and drug profiles, optimally design clinical trials, and interpret patient molecular data,” Dr. Alag continued. “NextBio has invested significantly in the use of Big Data technologies to handle the tsunami of genomic data being generated and its expected exponential growth. As we further scale our infrastructure to handle this growing data resource, we are excited to work with Intel to make the Hadoop stack better and give back to the open-source community.”


NextBio, Intel Collaborate to Optimize Hadoop for Genomics Big Data

Image representing nextbio as depicted in Crun...

NextBio and Intel announced today a collaboration aimed at optimizing and stabilizing the Hadoop stack and advancing the use of Big Data technologies in genomics. As a part of this collaboration, the NextBio and Intel engineering teams will apply experience they have gained from NextBio’s use of Big Data technologies to the improvement of HDFS, Hadoop, and HBase. Any enhancements that NextBio engineers make to the Hadoop stack will be contributed to the open-source community. Intel will also showcase NextBio’s use of Big Data.

“NextBio is positioned at the intersection of Genomics and Big Data. Every day we deal with the three V’s (volume, variety, and velocity) associated with Big Data – We, our collaborators, and our users are adding large volumes of a variety of molecular data to NextBio at an increasing velocity,” said Dr. Satnam Alag, chief technology officer and vice president of engineering at NextBio. “Without the implementation of our algorithms in the MapReduce framework, operational expertise in HDFS, Hadoop, and HBase, and investments in building our secure cloud-based infrastructure, it would have been impossible for us to scale cost-effectively to handle this large-scale data.”

“Intel is firmly committed to the wide adoption and use of Big Data technologies such as HDFS, Hadoop, and HBase across all industries that need to analyze large amounts of data,” said Girish Juneja, CTO and General Manager, Big Data Software and Services, Intel. “Complex data requiring compute-intensive analysis needs not only Big Data open source, but a combination of hardware and software management optimizations to help deliver needed scale with a high return on investment. Intel is working closely with NextBio to deliver this showcase reference to the Big Data community and life science industry.”

“The use of Big Data technologies at NextBio enables researchers and clinicians to mine billions of data points in real-time to discover new biomarkers, clinically assess targets and drug profiles, optimally design clinical trials, and interpret patient molecular data,” Dr. Alag continued. “NextBio has invested significantly in the use of Big Data technologies to handle the tsunami of genomic data being generated and its expected exponential growth. As we further scale our infrastructure to handle this growing data resource, we are excited to work with Intel to make the Hadoop stack better and give back to the open-source community.”


CaptureToCloud Launches Social Workspace Service for Professionals, SMBs

CaptureToCloud is announcing the launch of its new Social Workspace that, for the first time, allows users to capture any type of digital content to share or collaborate with anyone on any device in the cloud. CaptureToCloud was developed for professionals and SMB’s to deliver a unique Social Workspace and is tightly integrated with Google Apps. CaptureToCloud offers both a free and premium service and is available in the Google Apps Marketplace, Google Chrome Web Store, Google Play and at www.capturetocloud.com.

“Digital content is evolving rapidly, packing more information and coming in many different forms; yet the tools to capture, organize and share content have not progressed at the same pace,” said Ramon Nunez, CEO, CaptureToCloud. “Successful organizations and individuals rely on timely and relevant information and need a practical and efficient method to capture any digital content in their normal workflow, retain its original form and structure, and include it in private social conversations.”

CaptureToCloud changes how people work with content and moves beyond the traditional file-centric mentality. There is no longer a need to convert content from its original format into a file or to keep important but different types of content in different places. With the click of a button, users can capture Internet content or drag and drop items from Google Drive or files from Dropbox into their Social Workspace. Users can then organize content into topical or thematic collections and share them with anyone via email, Facebook, Twitter or CaptureToCloud while retaining control of their content. Users can engage others in private conversations that include people from inside and outside the firewall and integrate relevant content to work smarter and transform information sharing and decision-making.

“We deployed CaptureToCloud across our organization to make our team more productive,” said Oscar Garcia, CEO of the Mountain View Chamber of Commerce. “CaptureToCloud makes it easy to capture virtually any type of content in our normal workflow and work collaboratively with anyone in or outside our organization. The integration with Google Apps is a huge plus and being a cloud app makes it easy to install and manage.”

CaptureToCloud is also mobile and is the first app to capture mobile web pages. Mobile users not only have access to their content libraries, but can send, share and comment from their mobile devices while on the go.

“CaptureToCloud has fundamentally changed how our team works with digital content when collaborating with others,” said Jim Weldon, managing director of ePopDev. “Having all the relevant content for a project in one place and integrated with Google’s real-time document collaboration suite is genius.”

For more information visit www.capturetocloud.com.


CaptureToCloud Launches Social Workspace Service for Professionals, SMBs

CaptureToCloud is announcing the launch of its new Social Workspace that, for the first time, allows users to capture any type of digital content to share or collaborate with anyone on any device in the cloud. CaptureToCloud was developed for professionals and SMB’s to deliver a unique Social Workspace and is tightly integrated with Google Apps. CaptureToCloud offers both a free and premium service and is available in the Google Apps Marketplace, Google Chrome Web Store, Google Play and at www.capturetocloud.com.

“Digital content is evolving rapidly, packing more information and coming in many different forms; yet the tools to capture, organize and share content have not progressed at the same pace,” said Ramon Nunez, CEO, CaptureToCloud. “Successful organizations and individuals rely on timely and relevant information and need a practical and efficient method to capture any digital content in their normal workflow, retain its original form and structure, and include it in private social conversations.”

CaptureToCloud changes how people work with content and moves beyond the traditional file-centric mentality. There is no longer a need to convert content from its original format into a file or to keep important but different types of content in different places. With the click of a button, users can capture Internet content or drag and drop items from Google Drive or files from Dropbox into their Social Workspace. Users can then organize content into topical or thematic collections and share them with anyone via email, Facebook, Twitter or CaptureToCloud while retaining control of their content. Users can engage others in private conversations that include people from inside and outside the firewall and integrate relevant content to work smarter and transform information sharing and decision-making.

“We deployed CaptureToCloud across our organization to make our team more productive,” said Oscar Garcia, CEO of the Mountain View Chamber of Commerce. “CaptureToCloud makes it easy to capture virtually any type of content in our normal workflow and work collaboratively with anyone in or outside our organization. The integration with Google Apps is a huge plus and being a cloud app makes it easy to install and manage.”

CaptureToCloud is also mobile and is the first app to capture mobile web pages. Mobile users not only have access to their content libraries, but can send, share and comment from their mobile devices while on the go.

“CaptureToCloud has fundamentally changed how our team works with digital content when collaborating with others,” said Jim Weldon, managing director of ePopDev. “Having all the relevant content for a project in one place and integrated with Google’s real-time document collaboration suite is genius.”

For more information visit www.capturetocloud.com.


Application Security Is a Stack

On December 22, 1944 the German General von Lüttwitz sent an ultimatum to Gen. McAuliffe, whose forces (the Screaming Eagles, in case you were curious) were encircled in the city Bastogne. McAuliffe’s now famous reply was, “Nuts!” which so confounded the German general that it gave the 101st time to hold off the Germans reinforcements arrived four days later.
This little historical tidbit illustrates perfectly the issue with language, and how it can confuse two different groups of people who interpret even a simple word like “nuts” in different ways. In the case of information security, such a difference can have as profound an impact as that of McAuliffe’s famous reply.

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Misconceptions or Business Realities?

IDC Canada recently published a study highlighting how IT security fears may be inhibiting Canadian enterprises’ business agility and competitiveness. IDC and TELUS Enterprise Cloud Study, 2012: Three Misconceptions Curb Competitiveness sheds light on the concerns of leading Canadian businesses reluctant to implement nontraditional IT delivery methods, including public cloud-based SaaS applications, despite evidence these solutions can improve productivity, efficiency, and adaptability. Based on IDC’s research, more than 85% of the Canadian enterprises surveyed have significant concerns about public cloud security.

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Cleversafe Engineers a New Dispersed Compute Storage Solution with Hadoop

Cleversafe provides dispersed storage solutions that give infinite scale and cost-effective data storage/protection/access. Apache Hadoop and the CDH4 distribution provides all the required software for implementing MapReduce and the other chores associated with analysis over massive quantities of data. What if these two capabilities could be combined in a smart, well engineered way? The potential impact on […]

This post by was first published at CTOvision.com.

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