Google I/O this year was overwhelmingly dominated by consumer technology, the end user interface, and extension of the Android universe into a new class of mobile devices, the computer you wear on your wrist.
At the same time, there were one or two enterprise-scale data handling and cloud computing gems scattered among all the end user announcements.
One was Cloud Dataflow, introduced at the San Francisco event during a keynote presentation Wednesday. When it comes to handling large amounts of unstructured data, one of Google’s original contributions to the field was MapReduce. When combined with a distributed file system, it became a fundamental new type of data sorting, analyzing, and storage mechanism of the era: Hadoop.