I’m starting to feel the burn from doing so many blog posts about storage. It’s a good thing the vendors I’m previewing for Storage Field Day 7 (SFD) are staying very interesting from a infrastructure architecture perspective. Primary Data is no exception. I get to ask infrastructure pillar subject matter experts to do the impossible every day. My internal customers want stability, agility and speed. Of course, most of the time they are willing to pay for it just as long as it doesn’t disrupt the business. One of these impossible tasks I ask is for data virtualization. Not storage virtualization but data virtualization.
At the end of the day, the business cares about accessing and providing the data they need to service their customers. It doesn’t matter if that data is stored on Amazon S3 or a Striped Meta LUN on an VMAX array. The primary concern is that the data request can be fulfilled in the time period required by the business and that it is protected from both a security and business continuity perspective while compliance requirements are met.
This is where the concept of data virtualization comes into play. We don’t know what Primary Data will be presenting at SFD 7 but, I know the questions I already have in store. They are along the same lines of the questions I have for copy data. How do you virtualize where the data comes from without causing friction. Ultimately if downstream systems such as databases and applications or users have to change the way that they access data then the likelihood of acceptance decreases.
If I do have to redesign my data center around data virtualization then there should be a highly compelling and proven reason to do so. I’m really looking forward to digging in to this presentation.