January 5, 2015
Data is a part of everyday life in America, passing through cell phone air waves, internet modems, GPS satellite signals, and more. Our ability to use digital data to create new and amazing technology is growing faster every day, and it is rapidly changing the world. In the last couple decades, the amount of big data found on the web and on computer networks has grown exponentially. Even in the last two years, a zettabyte of data has been generated by every digital process that exists, from all computer tasks to security camera data to the digital information in your car's computer. This is one sextillion bytes, or the equivalent of one billion terabytes.
More important than the amount of data being produced every day from varied digital sources is the technology being created and innovated to deal with all that data. Computers need to have an incredible amount of operating power in order to handle all of the data going through them, and every technological advancement means that more data can be analyzed and more information and value extracted from it. Ever since we began using computer code to transmit information over 30 years ago, we have been adding to the amount of big data produced every day.
Now, with smart phones and tablets being used all the time, often by the same people, an estimated quintillion bytes of data is produced each day. Big data is also produced in ever higher quantities by the digitization of virtually every industry, and the use of digital technology in areas never before expected. Automotive security systems, surveillance cameras in factories and warehouses, wireless networking technology, weather pattern trackers, and TV and sound systems all produce big data. Some of the data has a higher value than others, and some of the data needs to be processed at higher levels than others.
In order to translate this data into usable forms, computer scientists are constantly looking for new algorithms to enable data processing at higher efficiencies. Thus, the journey of big data is no longer about the data itself, but about our means of understanding it and using it to derive important information. The growth of big data is much less of a concern than what we are going to do with all that data.
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Thanks for reading,
Rob Connary, President - COO
