Conferences
DataEngConf
DataEngConf SF 2017
26th-28th April 2017
- 10 talks
Beyond 50,000 Partitions: How Heroku Operates and Pushes the Limits of Kafka at Scale
When, Why, How: Lessons Learned in Applying Deep Learning to Real-World Problems
An Introduction to Big Data's Unsung Hero: The Log
Panel: How Engineer-Angels Evaluate Data-Backed Startups
The Right Stuff: Lessons Learned from a Decade of Data Engineering
How Superset and Druid Power Real-Time Analytics at Airbnb
Scaling Up Spark at Facebook – a 60TB Production Use Case
Anomaly Detection for Data Quality and Metric Shifts at Netflix
Data Science @ Pinterest
Data Science in the Enterprise
