Personal Information
Entreprise/Lieu de travail
Greater Boston Area United States
Profession
CTO Drinkin
Secteur d’activité
Education
Site Web
http://gee.io
À propos
Specialties: Javascript, Ruby, Ruby on Rails, Node.js, Angular.js, Backbone.js
- Présentations
- Documents
- Infographies
Models for hierarchical data
Karwin Software Solutions LLC
•
il y a 13 ans
Beyond DevOps - How Netflix Bridges the Gap
Josh Evans
•
il y a 8 ans
Performance Tuning EC2 Instances
Brendan Gregg
•
il y a 9 ans
Hive + Tez: A Performance Deep Dive
DataWorks Summit
•
il y a 9 ans
Hadoop Summit 2015: Performance Optimization at Scale, Lessons Learned at Twitter (Alex Levenson)
Alex Levenson
•
il y a 8 ans
Handle Large Messages In Apache Kafka
Jiangjie Qin
•
il y a 8 ans
Producer Performance Tuning for Apache Kafka
Jiangjie Qin
•
il y a 7 ans
Building Scalable, Highly Concurrent & Fault Tolerant Systems - Lessons Learned
Jonas Bonér
•
il y a 11 ans
Spark and shark
DataWorks Summit
•
il y a 11 ans
MyRocks Deep Dive
Yoshinori Matsunobu
•
il y a 8 ans
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
Amazon Web Services
•
il y a 8 ans
Apache Tez: Accelerating Hadoop Query Processing
DataWorks Summit
•
il y a 10 ans
Introduction to Apache Calcite
Jordan Halterman
•
il y a 7 ans
Tricks every ClickHouse designer should know, by Robert Hodges, Altinity CEO
Altinity Ltd
•
il y a 4 ans
Tech Talk: RocksDB Slides by Dhruba Borthakur & Haobo Xu of Facebook
The Hive
•
il y a 10 ans
SQL-on-Hadoop Tutorial
Daniel Abadi
•
il y a 8 ans
Log Structured Merge Tree
University of California, Santa Cruz
•
il y a 7 ans
Nested Types in Impala
Cloudera, Inc.
•
il y a 8 ans
Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321) - AWS re:Invent 2018
Amazon Web Services
•
il y a 5 ans
A Deep Dive into Query Execution Engine of Spark SQL
Databricks
•
il y a 5 ans