Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
Manager
Secteur d’activité
Technology / Software / Internet
Site Web
www.linkedin.com/in/taewookeom
À propos
* Plaster(Planet Master) of Big Data Infrastructure, since 2013
* Pre-Assessor of Hiring Programmer, since 2013
* Mentor of 101 Startup Korea, mentor-driven startup accelerator program by SK planet, since 2013
Data Infrastructure Team/Business Intelligence Promote Office
* in charge of Targeting System for Syrup Store, merchant mobile marketing platform (Hadoop, Impala, Phoenix/HBase)
* Real-time Stream Processing
Data Infrastructure Team/Data Lab.
* develop FDS(Fraud Detection System) for T Store, the largest Android app market in Korea (Hadoop/Cascading, Python)
* Real-time/Batch Processing
New Product Tech. Development Team/Product 3 Lab.
* technical consulting/designing of ne...
Mots-clés
big data
data
spark
strata
strataconf
stream
sparkstreaming
realtime
kafka
data programming
scala
cascading
hadoopworld
dataframe
rdd
programming
hadoop
mapreduce
scalding
d.camp
dataday
twitter
stratahadoop
Tout plus
Présentations
(8)J’aime
(154)Parquet and AVRO
airisData
•
il y a 8 ans
Hadoop application architectures - using Customer 360 as an example
hadooparchbook
•
il y a 7 ans
Decoupling Decisions with Apache Kafka
Grant Henke
•
il y a 7 ans
How to Build a Recommendation Engine on Spark
Caserta
•
il y a 9 ans
Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python
Christian Perone
•
il y a 7 ans
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
•
il y a 8 ans
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
il y a 9 ans
Spark shuffle introduction
colorant
•
il y a 9 ans
영어로 논문쓰기 - 읽기 쓰기 통합 전략을 중심으로
Sungwoo Kim
•
il y a 7 ans
Introduction to Kafka Streams
Guozhang Wang
•
il y a 8 ans
Kanban@NBT
Seungbin Cho
•
il y a 8 ans
Your data isn't that big @ Big Things Meetup 2016-05-16
Boaz Menuhin
•
il y a 7 ans
Deep Dive Into Catalyst: Apache Spark 2.0’s Optimizer
Databricks
•
il y a 7 ans
Introducing Kafka Streams, the new stream processing library of Apache Kafka, Berlin Buzzwords 2016
Michael Noll
•
il y a 7 ans
Hardcore Data Science - in Practice
Mikio L. Braun
•
il y a 7 ans
Broken Linux Performance Tools 2016
Brendan Gregg
•
il y a 8 ans
Clustering output of Apache Nutch using Apache Spark
Thamme Gowda
•
il y a 7 ans
Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams
ryanorban
•
il y a 8 ans
Building a REST Job Server for Interactive Spark as a Service
Cloudera, Inc.
•
il y a 8 ans
Apache Spark 1.6 with Zeppelin - Transformations and Actions on RDDs
Timothy Spann
•
il y a 7 ans
Next-generation Python Big Data Tools, powered by Apache Arrow
Wes McKinney
•
il y a 8 ans
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR
Amazon Web Services
•
il y a 8 ans
Smart IoT London, 13th April 2016
Boris Adryan
•
il y a 8 ans
Top 5 mistakes when writing Spark applications
hadooparchbook
•
il y a 8 ans
Advanced Analytics and Recommendations with Apache Spark - Spark Maryland/DC Meetup Feb 22 2016
Chris Fregly
•
il y a 8 ans
Extreme Apache Spark: how in 3 months we created a pipeline that can process 2.5 billion rows a day
Josef A. Habdank
•
il y a 8 ans
Apache HBase Application Archetypes
Cloudera, Inc.
•
il y a 9 ans
Boosting Consumer Engagement at PayPal
gorass
•
il y a 8 ans
Stanford CS347 Guest Lecture: Apache Spark
Reynold Xin
•
il y a 8 ans
Hadoop Application Architectures - Fraud Detection
hadooparchbook
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
Korea Korea, South
Profession
Manager
Secteur d’activité
Technology / Software / Internet
Site Web
www.linkedin.com/in/taewookeom
À propos
* Plaster(Planet Master) of Big Data Infrastructure, since 2013
* Pre-Assessor of Hiring Programmer, since 2013
* Mentor of 101 Startup Korea, mentor-driven startup accelerator program by SK planet, since 2013
Data Infrastructure Team/Business Intelligence Promote Office
* in charge of Targeting System for Syrup Store, merchant mobile marketing platform (Hadoop, Impala, Phoenix/HBase)
* Real-time Stream Processing
Data Infrastructure Team/Data Lab.
* develop FDS(Fraud Detection System) for T Store, the largest Android app market in Korea (Hadoop/Cascading, Python)
* Real-time/Batch Processing
New Product Tech. Development Team/Product 3 Lab.
* technical consulting/designing of ne...
Mots-clés
big data
data
spark
strata
strataconf
stream
sparkstreaming
realtime
kafka
data programming
scala
cascading
hadoopworld
dataframe
rdd
programming
hadoop
mapreduce
scalding
d.camp
dataday
twitter
stratahadoop
Tout plus