What a Shift in Storage Means for Big Data

More and more companies across various industries are beginning to move away from more traditional data warehousing options such as storage area networks. Companies are looking for more distributed, clustered, or scalable storage.

David A. Steinberg

David A. Steinberg, CEO of Zeta Global – courtesy David A. Steinberg

This change should allow data scientists to get more useful information out of larger and larger data sets. Better still, with the right tools, even regular scientists should be able to get better answers out of ever-increasing amounts of data. As these scientists achieve better results, it stands to reason that their desire to employ these methods will increase.

The underlying motivation for utilizing Big Data, organized properly, is already there. Everyone wants their business to run more efficiently, and to be more profitable. Big Data offers tangible benefits related to both of these goals.

Thus, as storage technology increases, both the amount of data that can be stored, and the ways in which that data can be organized and accessed, more businesses will begin to explore the benefits Big Data can offer.

One major concern many have about these collection efforts has to do with privacy, and protecting personal information. Better collection and identification technology should also increase the already strong privacy protections currently in place. If the data collection apparatus can identify what is being collected, it can also better identify what needs to be collected on top of the general protective efforts expected by consumers and mandated by law.

An additional benefit of increased collection and storage technology is the ability for businesses to manage even greater torrents of data without being deluged and flooded to the point of no return. Too much information can turn your collection efforts into a bad B-horror movie. Ever increasing data flooding in, without any way to deal with it.

However, these new technologies are helping businesses manage their data, and keep their collective heads above water.

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