In the early data center, IT managed data because it HAD to. The cost of online storage was too expensive to hold all the data needing processing. But over time storage became less expensive and storage system vendors created architectures that could scale to near infinite proportions. Data management seemingly became unnecessary. Then flash was implemented, eventually all-flash, resolving the final concern – performance. It seemed that data management was dead.
But data management, or at least the need for it is not dead, the number of solutions that provide data management has increased rapidly over the past year. Data management is cool again. But how and why we perform data management fundamentally changed.
A Storage System for Every Occasion
One of the reasons data management is back in style is we’ve seen a mass proliferation in the number of storage systems are available to organizations. There are at least four reasons for this proliferation.
First, there is a wide variety of workloads in the data center today. We have applications running on traditional scale-up architecture and there are applications that run on modern scale-out architecture.
Second, we’ve also have unprecedented growth in unstructured data, driven mostly by machine and device-generated data. How this unstructured data is used and how responsive the storage system needs to be varies wildly by use case.
Third, we’ve also seen a proliferation in companies with multiple data centers. Such companies want to be able to move data sets rapidly between data centers, as well as back and forth between their data centers and the public cloud. Also each public cloud provider has multiple classes of storage within their architectures, all at different price and performance levels. Customers also want to move data between these different service levels based on their needs at the moment.
Finally, while flash storage certainly reached cost parity with some hard disk configurations, it is still not able to compete on a cost-per-GB basis with some of the systems designed to be cheap and deep storage.
The Art of Data Management
There is definitely a need to move data between these various storage offerings but that movement has to be done at the right time with no interruption to current processes. The size and amount of data, as well as the quantity of files/objects means deciding what data should be moved where and when is probably beyond human capabilities.
In our upcoming webinar, “The Art of Data Management“, my colleague W. Curtis Preston and I will discuss how data management needs to change to deal with both the realities of data growth and the overwhelming number of storage systems available to store data.