|By Lacey Thoms||
|August 5, 2014 03:15 PM EDT||
These days, computing processing power has advanced to the point where we can collect a previously unimaginable wealth of information relating to virtually everything. And it can be reasonably concluded that such processing power will increase substantially in the years to come, just as it has in years past.
As we enter the age of big data, it’s more important than ever that companies have the ability to process those vast amounts of data, analyzing it in such a way to derive actionable information that can be leveraged to improve business processes and better serve customers.
It’s increasingly looking like open source data architecture—like Apache Hadoop—provides businesses with the tools necessary to process all amounts of data. Whereas in the past, companies were more likely to collect relational data, today’s information is so diverse that in a majority of cases, those relationships aren’t evident.
“From cell phone logs to GPS data, 85 percent of data being created every year is unstructured, not transactional data,” explains Herb Cunitz, president of Hortonworks, a spinoff of Yahoo founded in 2011 to help companies process large swaths of data. “Hadoop, in our view, fits well into this environment. It doesn’t replace the old architecture, it augments it – and allows the existing tools you have to access that data, too.”
Hadoop allows companies to process large batches of data in a matter of seconds, providing decision makers with real-time results. While the rise of readily available metrics has led some companies to see an opportunity for proprietary solutions, open source – “the single fastest way to innovate,” Cunitz says – allows businesses freedom from vendor lock-in, something that’s essential in today’s technologically driven world. And that’s why Hadoop is being leveraged by more and more companies.
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