01. Jagane Sundar, WANdisco, Visits #theCUBE!. (00:20)
02. Did You Have To Accomidate The Cloud Eating The World. (01:02)
03. What Is The Difference Between Strongly Consistent And Eventual Consistent. (02:25)
04. Does That Enable You To Create The Same Type Of Availability To Enterprises. (04:18)
05. Do You Find Customers Saying That You Are Insuring Their Data Stays Theirs. (06:00)
06. What Types Of Applications Are People Focusing On. (08:23)
07. Would It Take Too Long With Conventional Migration Techniques. (10:32)
08. At What Point In Time Is The Low Threshold For Specific Type Of Data. (12:23)
09. When You Integrate What Technical Issues To You Encounter. (14:28)
10. What Should We Look For In The Future. (15:11)
Track List created with http://www.vinjavideo.com.
--- ---
Protecting data during transitions across systems | #BigDataNYC
by Nelson Williams | Sep 28, 2016
More and more, data is becoming a company’s most valuable asset. However, data also has a weight. Moving it is hard. That said, moving data is vital to keeping it ready and available for use in the latest Big Data systems. Data must be backed up. Data must go to the Cloud. Data must be sent from one department to another. During any of these moves, data can be fragmented, lost or duplicated. Protecting this information as it flows through a company is critical.
To learn how companies protect their moving data, Dave Vellante (@dvellante), Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, visited the BigDataNYC 2016 conference in New York. There, they met with Jagane Sundar, CTO of WANdisco plc.
Consistent data across instances
One big part of keeping data intact is making sure it’s consistent. The conversation opened with an overview of what that means. Sundar explained how many systems are eventually consistent, that is, they compare data over time to weed out errors. People don’t remember, though, that systems might have different versions of data across instances. When this data is compared, they get outdated data included in the volume.
Sundar described a strongly consistent system as one that is completely consistent across a wide area network, making it resistant to failure of all sorts. He claimed WANdisco’s software can bring similar capabilities across multiple systems.
Smoothing the transition to the Cloud
Talking about customers, Sundar mentioned they’re more sophisticated now, but they still want the same thing. They want to go to Cloud X, but also run on Cloud Y and not lose any data in the transition. This puts a lot of pressure on Cloud applications. What WANdisco brought is the ability to have the same data on-premises and in hybrid cloud, moving the job as they need.
Sundar felt his company had the best replication engine in the world. To further that status, they were developing an SDK for custom applications.
“We want to be the choice for replication,” he said.
#BigDataNYC
#theCUBE
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Jagane Sundar, WANdisco | BigDataNYC 2016
01. Jagane Sundar, WANdisco, Visits #theCUBE!. (00:20)
02. Did You Have To Accomidate The Cloud Eating The World. (01:02)
03. What Is The Difference Between Strongly Consistent And Eventual Consistent. (02:25)
04. Does That Enable You To Create The Same Type Of Availability To Enterprises. (04:18)
05. Do You Find Customers Saying That You Are Insuring Their Data Stays Theirs. (06:00)
06. What Types Of Applications Are People Focusing On. (08:23)
07. Would It Take Too Long With Conventional Migration Techniques. (10:32)
08. At What Point In Time Is The Low Threshold For Specific Type Of Data. (12:23)
09. When You Integrate What Technical Issues To You Encounter. (14:28)
10. What Should We Look For In The Future. (15:11)
Track List created with http://www.vinjavideo.com.
--- ---
Protecting data during transitions across systems | #BigDataNYC
by Nelson Williams | Sep 28, 2016
More and more, data is becoming a company’s most valuable asset. However, data also has a weight. Moving it is hard. That said, moving data is vital to keeping it ready and available for use in the latest Big Data systems. Data must be backed up. Data must go to the Cloud. Data must be sent from one department to another. During any of these moves, data can be fragmented, lost or duplicated. Protecting this information as it flows through a company is critical.
To learn how companies protect their moving data, Dave Vellante (@dvellante), Peter Burris (@plburris), cohosts of theCUBE, from the SiliconANGLE Media team, visited the BigDataNYC 2016 conference in New York. There, they met with Jagane Sundar, CTO of WANdisco plc.
Consistent data across instances
One big part of keeping data intact is making sure it’s consistent. The conversation opened with an overview of what that means. Sundar explained how many systems are eventually consistent, that is, they compare data over time to weed out errors. People don’t remember, though, that systems might have different versions of data across instances. When this data is compared, they get outdated data included in the volume.
Sundar described a strongly consistent system as one that is completely consistent across a wide area network, making it resistant to failure of all sorts. He claimed WANdisco’s software can bring similar capabilities across multiple systems.
Smoothing the transition to the Cloud
Talking about customers, Sundar mentioned they’re more sophisticated now, but they still want the same thing. They want to go to Cloud X, but also run on Cloud Y and not lose any data in the transition. This puts a lot of pressure on Cloud applications. What WANdisco brought is the ability to have the same data on-premises and in hybrid cloud, moving the job as they need.
Sundar felt his company had the best replication engine in the world. To further that status, they were developing an SDK for custom applications.
“We want to be the choice for replication,” he said.
#BigDataNYC
#theCUBE
