Analysing data at its source is often better than crunching data in big, energy-thirsty centres
the computing cloud touches down in Las Vegas. In early December tens of thousands of mostly male geeks descend on America’s gambling capital in hope not of winnings but of wisdom about Amazon Web Services , the world’s biggest cloud-computing provider. Last year they had the choice of more than 2,500 different sessions over a week at the shindig, which was called “Re:Invent”.
To grasp how all this may work, consider the origin and journey of a typical bit and how both will change in the years to come. Today the bit is often still created by a human clicking on a website or tapping on a smartphone. Tomorrow it will more often than not be generated by machines, collectively called the “Internet of Things” : cranes, cars, washing machines, eyeglasses and so on. And these devices will not only serve as sensors, but act on the world in which they are embedded.
The reason for this approach is no secret. Data attract more data, because different sets are most profitably mined together—a phenomenon known as “data gravity”. And once a firm’s important data are in the cloud, it will move more of its business applications to the computing skies, generating ever more revenue for cloud-computing providers. Cloud providers also offer an increasingly rich palette of services which allow customers to mine their data for insights.
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