We all remember the times when Big Data was too big to handle. Those were the days when corporate data was scattered all over various departments and required colossal resources for mere maintenance. Then came the clouds and offered a solution. All data could have been stored in one easily accessible place and, as addition cloud solutions were drastically cheaper.
Data was sent to specialized, sophisticated storages that united and structured business intelligence. However enormous amounts of work were required to allow this happening, thus one single source of information was as handy as it was difficult to maintain properly.
Have we surpassed this way of managing data?
What would you really prefer: ease of access to distributed data or poorly structured business metrics tossed in a large pile in some shared repository? Today’s tech allows easy access from multiple stores of data as if you possess a centralized data storage.
In fact, localized data pools that are managed and structured separately may seem as the more convenient solution. Marketers will operate with whatever data they require and so will your IT or any other department.
On the other hand, what does the centralized approach mean? First of all it involves more data transfers. You will be forced to copy data and this process is literally bond to numerous inconsistency flaws. As an addition, the very process involves more storages as well as a larger amount of required data licenses. The fact that all data is tossed into one place makes a bitter cherry on the cake top as larger amounts of information area harder to use and manage.
Is distributed data a blazing solution?
What do we have on the other side of the scale? Distributed data may be intimidating as it requires enormous planning efforts. If any enterprise attends to operate distributed data cutting edge experts will be required. The kind of people who fully understand all the access and maintenance processes are necessary. Plus there will be numerous technologies involved with distributed enterprise data in the clouds.
Does not look to sweet? Well, it is not, yet a more distributed approach is better for business purposes in the end and constant technological growth is aimed at simplifying this path even further. This way is already cheaper and easier to manage, and consider how things will go in 5 years?