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 When this data is compared, they get outdated data included in the volume.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.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataNYC 2016.

Photo by SiliconANGLE