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Not Another Big Data Conference - Palo Alto

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325 Lytton Avenue

Palo Alto, CA 94301

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After two successful editions in Paris, we are now bringing NABDConf to the Bay area. On December 12, the conference by developers for developers will bring together engineers who have spent their careers resolving difficult problems at scale with other engineers who are facing similar challenges or who are just plain curious as to what’s going on behind the scenes at web-scale companies like Spotify, Cloudera, Uber, Criteo, and at fast-moving startups like Determined AI.

This edition will center around topics ranging from real-world deep learning and data science at scale to the nuts and bolts of making data engineering easier to understand and ever more efficient. We'll deep dive into technology like Spark, Parquet and Arrow, TensorFlow and other OSS projects like Featran, Cuttle and SLAB.

Sessions will include industry heavyweights sharing insights on:

  • Scalable Deep Learning on Big-Data Clusters
  • Monitoring data production and the escalation process around it
  • Examining multiple examples to outline these key capabilities of TensorFlow and Spark

Criteo will donate all proceeds from ticket sales to Techfugees, a social enterprise mobilizing the international tech community to respond to the refugee situation. Techfugees organizes conferences, workshops and hack-a-thons around the world in an effort to supply a pool of tech solutions and tech talent to NGOs working with refugees, and refugees themselves.

First 20 registered names get to attend the invite only Scala training by inventor of Play framework, Guillaume Bort on 11th December in the Criteo Palo Alto office.

Agenda

8:30 - 9:15 : Welcome/Breakfast

9:15 - 9:30 : NABD intro and welcome, Justin Coffey

9:30 - 10:15 : Parquet and Arrow, Julien Le Dem

10:15 - 11:00 : Evolving Engineering Culture, Mohsin Hussain

11:00 - 11:45 : Learnings on Big Data access for BI/Data Science/ML, David Chaiken

11:45 - 12:30 : Featran77 - Generic Feature Transformer for Data Pipelines, Neville Li

12:30 - 14:00 : Lunch break

14:00 - 14:45 : Building and Deploying ML Systems at Spotify, Samantha Hansen

14:00 - 14:45 : Guerilla SLAs with SLAB, or How I Stopped My Pager from Ringing When it Wasn’t My Fault (I swear), Justin Coffey

14:50 - 15:35 : Deep Learning in Practice, Neil Conway

14:50 - 15:35 : TensorFlow on Spark, Andy Feng

15:35 - 16:00 : One file format in one place for analytics: leveraging Apache Parquet and HDFS in both MPP databases and SQL on Hadoop engines, François Jehl & Raphaël Claude

16:00 - 16:45 : Impala Performance, Mostafa Moktar

16:00 - 16:45 : Time Series Jobs Scheduling at Criteo With Cuttle, Guillaume Bort

16:50 - 17:35 : Using the power of Big Data and Science to achieve efficiency for Uber's Marketplace ,

16:50 - 17:35 : Sudhir Tonse

17:35 : Official cocktail session

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325 Lytton Avenue

Palo Alto, CA 94301

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