Presented By O'Reilly and Cloudera
Make Data Work
Dec 4–5, 2017: Training
Dec 5–7, 2017: Tutorials & Conference
Singapore
Kaz Sato

Kaz Sato
Staff Developer Advocate, Google

Website | @kazunori_279

Kaz Sato is a staff developer advocate on the cloud platform team at Google, where he leads the developer advocacy team for machine learning and data analytics products such as TensorFlow, the Vision API, and BigQuery. Kaz has been leading and supporting developer communities for Google Cloud for over seven years. He’s a frequent speaker at conferences, including Google I/O 2016, Hadoop Summit 2016 San Jose, Strata and Hadoop World 2016, and Google Next 2015 NYC and Tel Aviv, and he has hosted FPGA meetups since 2013.

Sessions

2:35pm3:15pm Thursday, December 7, 2017
Kaz Sato (Google)
Average rating: ****.
(4.00, 1 rating)
BigQuery is Google's fully managed, petabyte-scale data warehouse. Its user-defined function realizes "smart" queries with the power of machine learning, such as similarity searches or recommendations on images or documents with feature vectors and neural network prediction. Kazunori Sato demonstrates how BigQuery and TensorFlow together enable a powerful "data warehouse + ML" solution. Read more.