Denny Lee
27 SlideShares 1 Clipboard 167 Followers 122 Followings
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.
Contact Details
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
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Presentations (27)
See all
Above the cloud: Big Data and BI
11 years ago • 2790 Views
A primer on power pivot topology and configurations
11 years ago • 3533 Views
How Klout is changing the landscape of social media with Hadoop and BI
10 years ago • 8818 Views
Building SSRS 2008 large scale solutions
10 years ago • 6626 Views
SQL Server Reporting Services: IT Best Practices
10 years ago • 19736 Views
Yahoo! TAO Case Study Excerpt
10 years ago • 9970 Views
Ensuring compliance of patient data with big data and bi [bdii 301-m] - (4078)
10 years ago • 3651 Views
SQL Server Reporting Services Disaster Recovery Webinar
9 years ago • 5106 Views
How Concur uses Big Data to get you to Tableau Conference On Time
8 years ago • 5866 Views
Jump Start into Apache Spark (Seattle Spark Meetup)
7 years ago • 1267 Views
Big Data, Bigger Brains
6 years ago • 203 Views
SQLCAT: Tier-1 BI in the World of Big Data
6 years ago • 509 Views
Deploying and Managing PowerPivot for SharePoint
6 years ago • 663 Views
SQLCAT: A Preview to PowerPivot Server Best Practices
6 years ago • 394 Views
SQLCAT: Addressing Security and Compliance Issues with SQL Server 2008
6 years ago • 656 Views
SQLCAT - Data and Admin Security
6 years ago • 335 Views
Designing, Building, and Maintaining Large Cubes using Lessons Learned
6 years ago • 289 Views
Building and Deploying Large Scale SSRS using Lessons Learned from Customer Deployments
6 years ago • 1506 Views
SQL Server Reporting Services Disaster Recovery webinar
6 years ago • 548 Views
Yahoo!, Big Data, and Microsoft BI: Bigger and Better Together
6 years ago • 867 Views
Differential Privacy Case Studies (CMU-MSR Mindswap on Privacy 2007)
6 years ago • 964 Views
Introduction to Microsoft's Big Data Platform and Hadoop Primer
6 years ago • 389 Views
SQL Server Reporting Services: IT Best Practices
6 years ago • 1159 Views
SQL Server Integration Services Best Practices
6 years ago • 1160 Views
Introduction to Azure DocumentDB
6 years ago • 562 Views
Spark to DocumentDB connector
6 years ago • 954 Views
Azure Cosmos DB: Globally Distributed Multi-Model Database Service
5 years ago • 1149 Views
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
Above the cloud: Big Data and BI
11 years ago • 2790 Views
A primer on power pivot topology and configurations
11 years ago • 3533 Views
How Klout is changing the landscape of social media with Hadoop and BI
10 years ago • 8818 Views
Building SSRS 2008 large scale solutions
10 years ago • 6626 Views
SQL Server Reporting Services: IT Best Practices
10 years ago • 19736 Views
Yahoo! TAO Case Study Excerpt
10 years ago • 9970 Views
Ensuring compliance of patient data with big data and bi [bdii 301-m] - (4078)
10 years ago • 3651 Views
SQL Server Reporting Services Disaster Recovery Webinar
9 years ago • 5106 Views
How Concur uses Big Data to get you to Tableau Conference On Time
8 years ago • 5866 Views
Jump Start into Apache Spark (Seattle Spark Meetup)
7 years ago • 1267 Views
Big Data, Bigger Brains
6 years ago • 203 Views
SQLCAT: Tier-1 BI in the World of Big Data
6 years ago • 509 Views
Deploying and Managing PowerPivot for SharePoint
6 years ago • 663 Views
SQLCAT: A Preview to PowerPivot Server Best Practices
6 years ago • 394 Views
SQLCAT: Addressing Security and Compliance Issues with SQL Server 2008
6 years ago • 656 Views
SQLCAT - Data and Admin Security
6 years ago • 335 Views
Designing, Building, and Maintaining Large Cubes using Lessons Learned
6 years ago • 289 Views
Building and Deploying Large Scale SSRS using Lessons Learned from Customer Deployments
6 years ago • 1506 Views
SQL Server Reporting Services Disaster Recovery webinar
6 years ago • 548 Views
Yahoo!, Big Data, and Microsoft BI: Bigger and Better Together
6 years ago • 867 Views
Differential Privacy Case Studies (CMU-MSR Mindswap on Privacy 2007)
6 years ago • 964 Views
Introduction to Microsoft's Big Data Platform and Hadoop Primer
6 years ago • 389 Views
SQL Server Reporting Services: IT Best Practices
6 years ago • 1159 Views
SQL Server Integration Services Best Practices
6 years ago • 1160 Views
Introduction to Azure DocumentDB
6 years ago • 562 Views
Spark to DocumentDB connector
6 years ago • 954 Views
Azure Cosmos DB: Globally Distributed Multi-Model Database Service
5 years ago • 1149 Views
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