You Don’t Have a Big Data Problem
The term Big Data gets tossed around a lot these days, and there are so many Big Data solutions for sale to address Big data Problems, that we seem to have lost sight of what Big Data really is! So, what is it?
Big Data is a term that refers to the fact that companies are storing more and more unstructured and unsecured data than ever before. Every single day the data pool grows. The truth, however, is this does not constitute a big data problem. In fact, the volume of data you have is incredibly valuable to you.
What you have is a problem securing and accessing the data.
Unnecessarily complex and complicated approaches to dealing with the data, storing the data, managing the data, and securing the data prevent you from quickly and easily accessing your data, let alone deriving value from it.
In trying to solve the problem of securing your data, you have actually created obstructions in extracting value from that data and have laid the path to more and more complexities.
We live and work in an increasingly mobile-driven and cloud-based environment where security breaches are daily occurrences. Privacy concerns are warranted and security measures are necessary so that your massive stores of unstructured and unsecured data don’t leave your network, applications and data exposed.
We need a simple, logical approach to securing our growing pools of data. We must fill the critical security gaps in cloud service providers, applications and operations systems, and we must not allow these security gaps to take hold and compromise data.
Yet the challenge of deriving value is not simply because we need to secure the data. While it is true that security measures have made it more difficult to access data, even without critical security measures in place we are not always employing the most efficient search methods available in order to access data.
We need a simpler approach to searching our data that allows us to quickly locate exactly the information we need, no matter where it is stored, from what device we are working on to retrieve it or what security measures are in place.
While I do not believe we have a Big Data problem, we do have problems associated with the growth of our data that we could take a simpler approach to solving. In the future on this blog I intend to explore how we can take a more direct approach to the problems associated with the growth of enterprise data, including security, privacy, and accessing value.
I hope to be the antidote to complexity when it comes to developing solutions for accessing and securing enterprise data. And by keeping the language simple I hope to show how it is possible to maintain a secure environment and have it quickly and easily accessible to those with the correct access privileges.
Big Data is a term that refers to the fact that companies are storing more and more unstructured and unsecured data than ever before. Every single day the data pool grows. The truth, however, is this does not constitute a big data problem. In fact, the volume of data you have is incredibly valuable to you.
What you have is a problem securing and accessing the data.
Unnecessarily complex and complicated approaches to dealing with the data, storing the data, managing the data, and securing the data prevent you from quickly and easily accessing your data, let alone deriving value from it.
In trying to solve the problem of securing your data, you have actually created obstructions in extracting value from that data and have laid the path to more and more complexities.
We live and work in an increasingly mobile-driven and cloud-based environment where security breaches are daily occurrences. Privacy concerns are warranted and security measures are necessary so that your massive stores of unstructured and unsecured data don’t leave your network, applications and data exposed.
We need a simple, logical approach to securing our growing pools of data. We must fill the critical security gaps in cloud service providers, applications and operations systems, and we must not allow these security gaps to take hold and compromise data.
Yet the challenge of deriving value is not simply because we need to secure the data. While it is true that security measures have made it more difficult to access data, even without critical security measures in place we are not always employing the most efficient search methods available in order to access data.
We need a simpler approach to searching our data that allows us to quickly locate exactly the information we need, no matter where it is stored, from what device we are working on to retrieve it or what security measures are in place.
While I do not believe we have a Big Data problem, we do have problems associated with the growth of our data that we could take a simpler approach to solving. In the future on this blog I intend to explore how we can take a more direct approach to the problems associated with the growth of enterprise data, including security, privacy, and accessing value.
I hope to be the antidote to complexity when it comes to developing solutions for accessing and securing enterprise data. And by keeping the language simple I hope to show how it is possible to maintain a secure environment and have it quickly and easily accessible to those with the correct access privileges.
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