Conferences
DataEngConf
DataEngConf NYC 2016
3rd- 4th November 2016
- 19 talks
Statistical & Computational Challenges of News Clustering
Jeiran Jahani
Lessons Learned Optimizing NoSQL for Apache Spark
John Musser
Genomic Data Analysis with Spark & Hadoop
Ryan Williams
Apache Kafka and the Rise of Stream Processing
Guozhang Wang
Predicting Chaotic Systems with Sparse Data
David Kelly
Building a Cloud-Native SQL Database
Alex Robinson
Trials & Tribulations of Scaling Data Science & Engineering
Ashley Miller
The Evolution of Data Processing at Spotify
Erin Palmer
Elastic Big Data Platform at Datadog
Doug Daniels
To Get The Value, Ditch the Hype
Nick Ursa
Reinforcement Learning for Data Scientists
Brian Farris
Peloton: The Self-Driving Database Management System
Andy Pavlo
Python Data Wrangling: Preparing for the Future
Wes McKinney
SystemML & Spark: A Framework for Scalable Data Science Algorithm Development
Jeremy Nilmeir
Stop Obsessing About Data Infrastructure
Yair Weinberger
How to Change a City with Data Science
Ben Wellington
Processing Geographic Data at Internet Scale
Peter Lenz
Bias, Variance and Adaptive Products
George Davis
Causal Inference in Data Science From Prediction to Causation
Amit Sharma
