Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Technology Ninja
Industry
Technology / Software / Internet
Tags
kafka
storm
open source
big data
machine learning
flink
synchronization
distributed systems
reliability
time
fraud
cassandra
real-time analytics
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Presentations
(5)Likes
(15)Analysis-of-Major-Trends-in-big-data-analytics-slim-baltagi-hadoop-summit
Slim Baltagi
•
7 years ago
Hive tuning
Michael Zhang
•
10 years ago
Hadoop Backup and Disaster Recovery
Cloudera, Inc.
•
11 years ago
Spark Streaming the Industrial IoT
Jim Haughwout
•
7 years ago
Conjfeatures
smee0815
•
13 years ago
Petascale Genomics (Strata Singapore 20151203)
Uri Laserson
•
8 years ago
Spark shuffle introduction
colorant
•
9 years ago
Advanced Apache Spark Meetup Spark SQL + DataFrames + Catalyst Optimizer + Data Sources API
Chris Fregly
•
8 years ago
Apache kafka
Shravan (Sean) Pabba
•
8 years ago
Compression Options in Hadoop - A Tale of Tradeoffs
DataWorks Summit
•
10 years ago
How Google Works
Eric Schmidt
•
9 years ago
Thrift vs Protocol Buffers vs Avro - Biased Comparison
Igor Anishchenko
•
11 years ago
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
9 years ago
Hadoop World 2011: Hadoop and Performance - Todd Lipcon & Yanpei Chen, Cloudera
Cloudera, Inc.
•
12 years ago
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Technology Ninja
Industry
Technology / Software / Internet
Tags
kafka
storm
open source
big data
machine learning
flink
synchronization
distributed systems
reliability
time
fraud
cassandra
real-time analytics
See more