Personal Information
Organization / Workplace
Greater Seattle Area, WA United States
Occupation
Staff Developer Advocate
Industry
Technology / Software / Internet
Website
databricks.com
About
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.
Tags
sql server
big data
sql server reporting services
analysis services
apache spark
powerpivot
hadoop
apache hadoop
microsoft
ssrs
powerpivot for sharepoint
nosql
azure documentdb
azure
best practices
compliance
security
business intelligence
disaster recovery
sql
hive
azure cosmos db
graph databases
machine learning
elastic scale
global
documentdb
javascript
distribution
document store
sql server integration services
isotope
pass
hdinsight
privacy
differential privacy
yahoo
seattle spark meetup
cloudera
impala
tableau
concur
ssas
hadoop summit
bi
klout
configuration
powerpivot for excel
sharepoint
topology
microsoft powerpivot
microsoft sharepoint
mapreduce
bigdata
excel
power view
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hadoop on azure
hive add-in
See more
Presentations
(27)
See all
Likes
(27)
See all
Concept Drift: Monitoring Model Quality In Streaming ML Applications
Lightbend
•
5 years ago
Deep Learning for Recommender Systems with Nick pentreath
Databricks
•
4 years ago
Web-Scale Graph Analytics with Apache® Spark™
Databricks
•
5 years ago
Scaling Genetic Data Analysis with Apache Spark with Jon Bloom and Tim Poterba
Databricks
•
5 years ago
Fundamentals of Stream Processing with Apache Beam, Tyler Akidau, Frances Perry
confluent
•
7 years ago
Neural networks and google tensor flow
Shannon McCormick
•
7 years ago
Culture
Reed Hastings
•
13 years ago
Exploiting GPUs in Spark
Kazuaki Ishizaki
•
7 years ago
Spark Meetup:DataScience@Concur - Reacting to RT events to control throughput
Anikate Singh
•
7 years ago
Spark After Dark: Real time Advanced Analytics and Machine Learning with Spark
Chris Fregly
•
7 years ago
Spark SQL Deep Dive @ Melbourne Spark Meetup
Databricks
•
7 years ago
Scale your docker containers with Mesos
Timothy Chen
•
8 years ago
Tuning and Debugging in Apache Spark
Patrick Wendell
•
8 years ago
Tuning and Debugging in Apache Spark
Databricks
•
8 years ago
(SPOT301) AWS Innovation at Scale | AWS re:Invent 2014
Amazon Web Services
•
8 years ago
Netflix JavaScript Talks - Scaling A/B Testing on Netflix.com with Node.js
Chris Saint-Amant
•
8 years ago
Netflix running Presto in the AWS Cloud
Zhenxiao Luo
•
9 years ago
xPatterns on Spark, Shark, Mesos, Tachyon
Claudiu Barbura
•
9 years ago
I Heart Log: Real-time Data and Apache Kafka
Jay Kreps
•
9 years ago
Spark at Twitter - Seattle Spark Meetup, April 2014
Sriram Krishnan
•
9 years ago
Leveraging Hadoop in your PostgreSQL Environment
Jim Mlodgenski
•
9 years ago
Master tuning
Thomas Kejser
•
9 years ago
Scaling Big Data Mining Infrastructure Twitter Experience
DataWorks Summit
•
10 years ago
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Data Science London
•
10 years ago
HBaseCon 2012 | Lessons learned from OpenTSDB - Benoit Sigoure, StumbleUpon
Cloudera, Inc.
•
11 years ago
Protocol Buffers and Hadoop at Twitter
Kevin Weil
•
13 years ago
Future of HCatalog
DataWorks Summit
•
10 years ago
Presentations
(27)
See all
Likes
(27)
See all
Concept Drift: Monitoring Model Quality In Streaming ML Applications
Lightbend
•
5 years ago
Deep Learning for Recommender Systems with Nick pentreath
Databricks
•
4 years ago
Web-Scale Graph Analytics with Apache® Spark™
Databricks
•
5 years ago
Scaling Genetic Data Analysis with Apache Spark with Jon Bloom and Tim Poterba
Databricks
•
5 years ago
Fundamentals of Stream Processing with Apache Beam, Tyler Akidau, Frances Perry
confluent
•
7 years ago
Neural networks and google tensor flow
Shannon McCormick
•
7 years ago
Culture
Reed Hastings
•
13 years ago
Exploiting GPUs in Spark
Kazuaki Ishizaki
•
7 years ago
Spark Meetup:DataScience@Concur - Reacting to RT events to control throughput
Anikate Singh
•
7 years ago
Spark After Dark: Real time Advanced Analytics and Machine Learning with Spark
Chris Fregly
•
7 years ago
Spark SQL Deep Dive @ Melbourne Spark Meetup
Databricks
•
7 years ago
Scale your docker containers with Mesos
Timothy Chen
•
8 years ago
Tuning and Debugging in Apache Spark
Patrick Wendell
•
8 years ago
Tuning and Debugging in Apache Spark
Databricks
•
8 years ago
(SPOT301) AWS Innovation at Scale | AWS re:Invent 2014
Amazon Web Services
•
8 years ago
Netflix JavaScript Talks - Scaling A/B Testing on Netflix.com with Node.js
Chris Saint-Amant
•
8 years ago
Netflix running Presto in the AWS Cloud
Zhenxiao Luo
•
9 years ago
xPatterns on Spark, Shark, Mesos, Tachyon
Claudiu Barbura
•
9 years ago
I Heart Log: Real-time Data and Apache Kafka
Jay Kreps
•
9 years ago
Spark at Twitter - Seattle Spark Meetup, April 2014
Sriram Krishnan
•
9 years ago
Leveraging Hadoop in your PostgreSQL Environment
Jim Mlodgenski
•
9 years ago
Master tuning
Thomas Kejser
•
9 years ago
Scaling Big Data Mining Infrastructure Twitter Experience
DataWorks Summit
•
10 years ago
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Data Science London
•
10 years ago
HBaseCon 2012 | Lessons learned from OpenTSDB - Benoit Sigoure, StumbleUpon
Cloudera, Inc.
•
11 years ago
Protocol Buffers and Hadoop at Twitter
Kevin Weil
•
13 years ago
Future of HCatalog
DataWorks Summit
•
10 years ago
Personal Information
Organization / Workplace
Greater Seattle Area, WA United States
Occupation
Staff Developer Advocate
Industry
Technology / Software / Internet
Website
databricks.com
About
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.
Tags
sql server
big data
sql server reporting services
analysis services
apache spark
powerpivot
hadoop
apache hadoop
microsoft
ssrs
powerpivot for sharepoint
nosql
azure documentdb
azure
best practices
compliance
security
business intelligence
disaster recovery
sql
hive
azure cosmos db
graph databases
machine learning
elastic scale
global
documentdb
javascript
distribution
document store
sql server integration services
isotope
pass
hdinsight
privacy
differential privacy
yahoo
seattle spark meetup
cloudera
impala
tableau
concur
ssas
hadoop summit
bi
klout
configuration
powerpivot for excel
sharepoint
topology
microsoft powerpivot
microsoft sharepoint
mapreduce
bigdata
excel
power view
hadoop on windows
hadoop on azure
hive add-in
See more