Data has a useful life span, just as much as any IT hardware or software. While many organisations reap the benefit of the data they have, the massive influx of data can, at times, be too overwhelming for them. Excessive data will require more computing power to harness them and, if not done quickly and correctly may result in data repositories with no value.
These repositories, often referred to as dead data, have the potential to keep organisations trapped in their own shackles as they look to get more insights from the influx of data coming in. Simply because dead data is disconnected from any business operation. They also entail risks in the domains of data quality, data governance and data security. Businesses could end up hurting themselves if their data is not managed properly.
So What’s the Problem With Dead Data?
Businesses today rely heavily on insights from their data. The more data they have, the better the outcome they have on data-driven insights. But when there is too much data, managing them becomes a hassle. Businesses may only look at data that is current, automatically making older data irrelevant.
As such, mission-critical data becomes primary while everything else becomes siloed, which eventually leads to an increasing amount of data that can’t be managed easily. And this is where the problem begins.
While organisations may feel dead data doesn’t hold much value, this data is still bounded by regulation and compliance laws. Meaning, you can’t just ignore them in your organisation. You need to be able to know what to do with it or it could just end up causing more problems in the future, especially when storage becomes a problem, backup systems fail to keep up and workloads begin moving to the cloud.
As businesses migrate to the cloud especially, the need to smoothly and transparently span data and workloads from on-premises to one or more cloud providers and back becomes apparent.
To deal with this, businesses need the right cloud data management tools to ensure data can be moved from the cloud back to on-premises, or between clouds. The lack of easy data mobility can be very challenging and time-consuming, especially if you have a lot of dead data in your storage.
At the same time, the sheer amount of data can make keeping track difficult across different and varied environments. You need to know what data you have, how it can be used and where it can be stored. Even if your data is no longer of value, you must know how to dispose of it without risking any regulatory and compliance violations.
So, what are the solutions? Firstly, whether or not your data is dead or has no value, you need to make sure you are able to have long-term retention and archival of data for regulatory purposes. Also, having a data management platform that allows for storage tiering ensures that your frequently accessed data are in the most performant storage devices. More importantly, you need to make sure you have data mobility between on-premises and public cloud environments.
Cohesity Data Platform addresses all these challenges and more. It integrates with public cloud platforms, not as a bolted-on afterthought but from the ground up by consolidating data and applications, including backups, files, objects, dev/test analytics on a single software-defined platform.
The Cohesity Data Platform also deals with dead data through its flexible architecture that allows it to overcome mass data fragmentation. Businesses will be able to worry less about their dead data problems and focus more on getting the insights they want for their businesses, while also being assured that their data is protected.
For more information about Cohesity Data Platform and how it deals with secondary data as well as dead data, read this white paper.