Denny Lee

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Denny Lee is a Staff Developer Advocate at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers. My current technical interests include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.

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Denny Lee

Concept Drift: Monitoring Model Quality In Streaming ML Applications

Deep Learning for Recommender Systems with Nick pentreath

Web-Scale Graph Analytics with Apache® Spark™

Scaling Genetic Data Analysis with Apache Spark with Jon Bloom and Tim Poterba

Fundamentals of Stream Processing with Apache Beam, Tyler Akidau, Frances Perry

Neural networks and google tensor flow

Culture

Exploiting GPUs in Spark

Spark Meetup:DataScience@Concur - Reacting to RT events to control throughput

Spark After Dark: Real time Advanced Analytics and Machine Learning with Spark

Spark SQL Deep Dive @ Melbourne Spark Meetup

Scale your docker containers with Mesos

Tuning and Debugging in Apache Spark

Tuning and Debugging in Apache Spark

(SPOT301) AWS Innovation at Scale | AWS re:Invent 2014

Netflix JavaScript Talks - Scaling A/B Testing on Netflix.com with Node.js

Netflix running Presto in the AWS Cloud

xPatterns on Spark, Shark, Mesos, Tachyon

I Heart Log: Real-time Data and Apache Kafka

Spark at Twitter - Seattle Spark Meetup, April 2014