Personal Information
Organización/Lugar de trabajo
Greater Seattle Area, WA United States
Ocupación
Staff Developer Advocate
Sector
Technology / Software / Internet
Sitio web
databricks.com
Acerca de
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.
Etiquetas
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
Ver más
Presentaciones
(27)Recomendaciones
(27)Concept Drift: Monitoring Model Quality In Streaming ML Applications
Lightbend
•
Hace 6 años
Deep Learning for Recommender Systems with Nick pentreath
Databricks
•
Hace 5 años
Web-Scale Graph Analytics with Apache® Spark™
Databricks
•
Hace 6 años
Scaling Genetic Data Analysis with Apache Spark with Jon Bloom and Tim Poterba
Databricks
•
Hace 6 años
Fundamentals of Stream Processing with Apache Beam, Tyler Akidau, Frances Perry
confluent
•
Hace 7 años
Neural networks and google tensor flow
Shannon McCormick
•
Hace 7 años
Culture
Reed Hastings
•
Hace 14 años
Exploiting GPUs in Spark
Kazuaki Ishizaki
•
Hace 8 años
Spark Meetup:DataScience@Concur - Reacting to RT events to control throughput
Anikate Singh
•
Hace 8 años
Spark After Dark: Real time Advanced Analytics and Machine Learning with Spark
Chris Fregly
•
Hace 8 años
Spark SQL Deep Dive @ Melbourne Spark Meetup
Databricks
•
Hace 8 años
Scale your docker containers with Mesos
Timothy Chen
•
Hace 9 años
Tuning and Debugging in Apache Spark
Patrick Wendell
•
Hace 9 años
Tuning and Debugging in Apache Spark
Databricks
•
Hace 9 años
(SPOT301) AWS Innovation at Scale | AWS re:Invent 2014
Amazon Web Services
•
Hace 9 años
Netflix JavaScript Talks - Scaling A/B Testing on Netflix.com with Node.js
Chris Saint-Amant
•
Hace 9 años
Netflix running Presto in the AWS Cloud
Zhenxiao Luo
•
Hace 9 años
xPatterns on Spark, Shark, Mesos, Tachyon
Claudiu Barbura
•
Hace 9 años
I Heart Log: Real-time Data and Apache Kafka
Jay Kreps
•
Hace 10 años
Spark at Twitter - Seattle Spark Meetup, April 2014
Sriram Krishnan
•
Hace 10 años
Leveraging Hadoop in your PostgreSQL Environment
Jim Mlodgenski
•
Hace 10 años
Master tuning
Thomas Kejser
•
Hace 10 años
Scaling Big Data Mining Infrastructure Twitter Experience
DataWorks Summit
•
Hace 11 años
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Data Science London
•
Hace 11 años
HBaseCon 2012 | Lessons learned from OpenTSDB - Benoit Sigoure, StumbleUpon
Cloudera, Inc.
•
Hace 11 años
Protocol Buffers and Hadoop at Twitter
Kevin Weil
•
Hace 14 años
Future of HCatalog
DataWorks Summit
•
Hace 11 años
Personal Information
Organización/Lugar de trabajo
Greater Seattle Area, WA United States
Ocupación
Staff Developer Advocate
Sector
Technology / Software / Internet
Sitio web
databricks.com
Acerca de
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.
Etiquetas
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
Ver más