Best Argument: Revolution
Don’t be afraid
Andrew Brust: Big Data is unmistakably revolutionary. For the first time in the technology world, we’re thinking about how to collect more data and analyze it, instead of how to reduce data and archive what’s left. We’re no longer intimidated by data volumes; now we seek out extra data to help us gain even further insight into our businesses, our governments, and our society.
The advent of distributed processing over clusters of commodity servers and disks is a big part of what’s driving this, but so too is the low and falling price of storage. While the technology, and indeed the need, to collect, process and analyze Big Data, has been with us for quite some time, doing so hasn’t been efficient or economical until recently. And therein lies the revolution: everything we always wanted to know about our data but were afraid to ask. Now we don’t have to be afraid.
Not really new
Dan Kusntezky: Big data isn't really new. What we now know as Big Data comes out of ancient and honorable analysis of log data, from a long line of analytical tools that deal with rapidly moving, large amounts of data. Analyzing log data coming out of operating systems, application frameworks, database engines, networking giblets and storage systems has been around for decades as a “big data” task. Just ask vendors such as Splunk, Loggly, or RainStor.