November 20, 2019

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Big data at Google: Solving problems at scale

Big data at Google: Solving problems at scale

Google is no stranger to big data, pioneering several big data technologies grown and tested internallyincluding MapReduce, BigTable, and most recently Dataflow and TensorFlow, as well as one of the most heavily used tools at Google, BigQueryand making them available to everyone. Jordan Tigani shares what big data means for Google and announces several new BigQuery features.
Talk Title Big data at Google: Solving problems at scale
Speakers Jordan Tigani (Google )
Conference Strata + Hadoop World
Conf Tag Making Data Work
Location London, United Kingdom
Date June 1-3, 2016
URL Talk Page
Slides
Video Talk Video

Google is no stranger to big data, pioneering several big data technologies grown and tested internally—including MapReduce, BigTable, and most recently Dataflow and TensorFlow, as well as one of the most heavily used tools at Google, BigQuery—and making them available to everyone. Jordan Tigani shares what big data means for Google and announces several new BigQuery features that will make the product even more enticing for companies looking for a blazing-fast NoOps analytics data warehouse of almost infinite scale. This keynote is sponsored by Google.

google tensorflow analytics data warehouse big data
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