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Thursday, June 4 • 15:00 - 15:50
Making Sense of Google Cloud Dataflow for Big Data - Kazunori Sato, Google

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MapReduce, Millwheel and a host of other technologies changed the way programmers approached data problems. Rather than being constrained by the size of the data set, developers could focus on defining the key bits of intelligence they were seeking to find from an almost infinite data pool. While this opened up all kinds of new analysis, it also created a new set of problems — most notably dealing with the complexity of stringing together map reduces and creating end to end programming logic from multiple steps. New technologies like Google Cloud Dataflow seek to solve this problem and make Big Data into a concrete set of executable operations.

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avatar for Kazunori Sato

Kazunori Sato

Google Inc
Kazunori Sato is a Developer Advocate at Cloud Platform team, Google Inc. He supports developer community for Google Cloud Platform, such as GCP User Group (GCPUG), #bq_sushi, and gcp ja night. He also supports new product launch including Cloud Dataflow and BigQuery.


Thursday June 4, 2015 15:00 - 15:50
Orchid 3

Attendees (8)