Denny Lee
168
Abonné
Personal Information
Entreprise/Lieu de travail
Greater Seattle Area, WA United States
Profession
Staff Developer Advocate
Secteur d’activité
Technology / Software / Internet
Site Web
databricks.com
À propos
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.
Mots-clés
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
Tout plus
- Présentations
- Documents
- Infographies
Concept Drift: Monitoring Model Quality In Streaming ML Applications
Lightbend
•
il y a 6 ans
Deep Learning for Recommender Systems with Nick pentreath
Databricks
•
il y a 5 ans
Web-Scale Graph Analytics with Apache® Spark™
Databricks
•
il y a 6 ans
Scaling Genetic Data Analysis with Apache Spark with Jon Bloom and Tim Poterba
Databricks
•
il y a 6 ans
Fundamentals of Stream Processing with Apache Beam, Tyler Akidau, Frances Perry
confluent
•
il y a 8 ans
Neural networks and google tensor flow
Shannon McCormick
•
il y a 7 ans
Culture
Reed Hastings
•
il y a 14 ans
Exploiting GPUs in Spark
Kazuaki Ishizaki
•
il y a 8 ans
Spark Meetup:DataScience@Concur - Reacting to RT events to control throughput
Anikate Singh
•
il y a 8 ans
Spark After Dark: Real time Advanced Analytics and Machine Learning with Spark
Chris Fregly
•
il y a 8 ans
Spark SQL Deep Dive @ Melbourne Spark Meetup
Databricks
•
il y a 8 ans
Scale your docker containers with Mesos
Timothy Chen
•
il y a 9 ans
Tuning and Debugging in Apache Spark
Patrick Wendell
•
il y a 9 ans
Tuning and Debugging in Apache Spark
Databricks
•
il y a 9 ans
(SPOT301) AWS Innovation at Scale | AWS re:Invent 2014
Amazon Web Services
•
il y a 9 ans
Netflix JavaScript Talks - Scaling A/B Testing on Netflix.com with Node.js
Chris Saint-Amant
•
il y a 9 ans
Netflix running Presto in the AWS Cloud
Zhenxiao Luo
•
il y a 9 ans
xPatterns on Spark, Shark, Mesos, Tachyon
Claudiu Barbura
•
il y a 9 ans
I Heart Log: Real-time Data and Apache Kafka
Jay Kreps
•
il y a 10 ans
Spark at Twitter - Seattle Spark Meetup, April 2014
Sriram Krishnan
•
il y a 10 ans