Taewook Eom
61
Abonné
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
- Documents
- Infographies
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 8 ans