Hadoop deployment gets easier with Wandisco | #BigDataNYC
by Marlene Den Bleyker | Sep 30, 2015
Jim Campigli, chief product officer at WANdisco, caught up with John Furrier and Dave Vellante, hosts of theCUBE, from the SiliconANGLE Media team, at BigDataNYC 2015 to discuss the reason his company is finding success in helping the enterprise deploy Hadoop.
Patented technology
WANdisco’s patented active-active replication engine is making all the difference, according to Campigli. “We guarantee consistency through our peer-to-peer agreement process so that everything is written in the same order on every server,” he said.
Hadoop is relevant under the hood and as part of the network, and active-active is the engine of deployment. WANdisco’s product Fusion employs active-active, a replication tool that creates a subset of HDFS (a Java-based file system) data and allows the user to access it at all times on multiple clusters across different Hadoop distribution or storage systems.
“We come into play when companies are putting things into production,” said Campigli, who continued to explain that Fusion maintains up time to meet the SLAs. The result of this technology is that the data exists elsewhere and the customer can continue to access data on other clusters when their local cluster is down. Once the system comes back online, they can sync back without user involvement. Additionally, there is data protection and scalability as Fusion deployments take place. All this eliminates standby hardware, according to WANdisco.
@theCUBE
#BigDataNYC
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Jim Campigli, WANdisco - #BigDataNYC 2015 - #theCUBE
Hadoop deployment gets easier with Wandisco | #BigDataNYC
by Marlene Den Bleyker | Sep 30, 2015
Jim Campigli, chief product officer at WANdisco, caught up with John Furrier and Dave Vellante, hosts of theCUBE, from the SiliconANGLE Media team, at BigDataNYC 2015 to discuss the reason his company is finding success in helping the enterprise deploy Hadoop.
Patented technology
WANdisco’s patented active-active replication engine is making all the difference, according to Campigli. “We guarantee consistency through our peer-to-peer agreement process so that everything is written in the same order on every server,” he said.
Hadoop is relevant under the hood and as part of the network, and active-active is the engine of deployment. WANdisco’s product Fusion employs active-active, a replication tool that creates a subset of HDFS (a Java-based file system) data and allows the user to access it at all times on multiple clusters across different Hadoop distribution or storage systems.
“We come into play when companies are putting things into production,” said Campigli, who continued to explain that Fusion maintains up time to meet the SLAs. The result of this technology is that the data exists elsewhere and the customer can continue to access data on other clusters when their local cluster is down. Once the system comes back online, they can sync back without user involvement. Additionally, there is data protection and scalability as Fusion deployments take place. All this eliminates standby hardware, according to WANdisco.
@theCUBE
#BigDataNYC
