01. Yuan Hao Sun, Transwarp Technology Inc, Visits #theCUBE. (00:21)
02. Transwarp Is the Leading Hadoop Distributor in China. (00:56)
03. Streaming Data and Machine Learning. (07:26)
04. Transwarp's Business Model. (10:44)
05. History of Transwarp and It's Current Competitors. (11:60)
06. Seeking Partnerships in the United States. (14:37)
07. This Year's Conference Has Grown Significantly. (16:36)
08. Complementing or Competing with HBase and HDFS. (17:27)
09. Still Early Stages for Cloud for Hadoop Workloads in China. (19:37)
Track List created with http://www.vinjavideo.com.
--- ---
Transwarp Technologies uses open source and non-proprietary Hadoop core | #BigDataNYC
by Andrew Ruggiero | Oct 1, 2015
The Chinese economy and technology industry have been booming in the past several decades. What does this mean for global competition, and where are our Chinese counterparts innovating?
Dave Vellante and George Gilbert, cohosts of theCUBE, from the SiliconANGLE Media team, sat down with Yuanhao Sun, cofounder and CTO of Transwarp Technology, Inc., to gain insight on what Transwarp offers and how it compares in size to U.S. Hadoop vendors.
SQL layer on Hadoop core
Transwarp offers several proprietary products that are built upon a Hadoop core. What’s unique about this Hadoop core is that it is open source and non-proprietary. Transwarp Data Hub is the number one Hadoop distribution available in China; it’s specific to customer demands. This distribution makes it easy for the company’s customers to transition their legacy applications from old infrastructure to new infrastructure. This is done by a single engine layer on top of a Hadoop core.
Similar methodology is used to apply other proprietary products, and as Gilbert noticed Chinese customers appear to be more interested in the results compared to their American contemporaries.
Scale
The incredible scale of this deployment is what might be most impressive about Transwarp Technologies. Sun mentioned an example “20 petabyte” customer launch for a large telco that requires large data storage requirements to amass its data. The scales vary quite widely for its distribution, being able to handle “10GB to 100PB” deployments according to its website.
Transwarp is poised to be an international Big Data competitor, and it’ll be worth looking at its entry into the U.S. market with some of its proprietary solutions.
@theCUBE
#BigDataNYC
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01. Yuan Hao Sun, Transwarp Technology Inc, Visits #theCUBE. (00:21)
02. Transwarp Is the Leading Hadoop Distributor in China. (00:56)
03. Streaming Data and Machine Learning. (07:26)
04. Transwarp's Business Model. (10:44)
05. History of Transwarp and It's Current Competitors. (11:60)
06. Seeking Partnerships in the United States. (14:37)
07. This Year's Conference Has Grown Significantly. (16:36)
08. Complementing or Competing with HBase and HDFS. (17:27)
09. Still Early Stages for Cloud for Hadoop Workloads in China. (19:37)
Track List created with http://www.vinjavideo.com.
--- ---
Transwarp Technologies uses open source and non-proprietary Hadoop core | #BigDataNYC
by Andrew Ruggiero | Oct 1, 2015
The Chinese economy and technology industry have been booming in the past several decades. What does this mean for global competition, and where are our Chinese counterparts innovating?
Dave Vellante and George Gilbert, cohosts of theCUBE, from the SiliconANGLE Media team, sat down with Yuanhao Sun, cofounder and CTO of Transwarp Technology, Inc., to gain insight on what Transwarp offers and how it compares in size to U.S. Hadoop vendors.
SQL layer on Hadoop core
Transwarp offers several proprietary products that are built upon a Hadoop core. What’s unique about this Hadoop core is that it is open source and non-proprietary. Transwarp Data Hub is the number one Hadoop distribution available in China; it’s specific to customer demands. This distribution makes it easy for the company’s customers to transition their legacy applications from old infrastructure to new infrastructure. This is done by a single engine layer on top of a Hadoop core.
Similar methodology is used to apply other proprietary products, and as Gilbert noticed Chinese customers appear to be more interested in the results compared to their American contemporaries.
Scale
The incredible scale of this deployment is what might be most impressive about Transwarp Technologies. Sun mentioned an example “20 petabyte” customer launch for a large telco that requires large data storage requirements to amass its data. The scales vary quite widely for its distribution, being able to handle “10GB to 100PB” deployments according to its website.
Transwarp is poised to be an international Big Data competitor, and it’ll be worth looking at its entry into the U.S. market with some of its proprietary solutions.
@theCUBE
#BigDataNYC
