Personal Information
Organización/Lugar de trabajo
Korea Korea, South
Ocupación
Manager
Sector
Technology / Software / Internet
Sitio web
www.linkedin.com/in/taewookeom
Acerca de
* 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...
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Presentaciones
(8)Recomendaciones
(152)Parquet and AVRO
airisData
•
Hace 9 años
Hadoop application architectures - using Customer 360 as an example
hadooparchbook
•
Hace 8 años
Decoupling Decisions with Apache Kafka
Grant Henke
•
Hace 8 años
How to Build a Recommendation Engine on Spark
Caserta
•
Hace 10 años
Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python
Christian Perone
•
Hace 8 años
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
•
Hace 9 años
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
Hace 10 años
Spark shuffle introduction
colorant
•
Hace 10 años
영어로 논문쓰기 - 읽기 쓰기 통합 전략을 중심으로
Sungwoo Kim
•
Hace 9 años
Introduction to Kafka Streams
Guozhang Wang
•
Hace 9 años
Kanban@NBT
Seungbin Cho
•
Hace 9 años
Your data isn't that big @ Big Things Meetup 2016-05-16
Boaz Menuhin
•
Hace 9 años
Deep Dive Into Catalyst: Apache Spark 2.0’s Optimizer
Databricks
•
Hace 9 años
Introducing Kafka Streams, the new stream processing library of Apache Kafka, Berlin Buzzwords 2016
Michael Noll
•
Hace 9 años
Hardcore Data Science - in Practice
Mikio L. Braun
•
Hace 9 años
Broken Linux Performance Tools 2016
Brendan Gregg
•
Hace 9 años
Clustering output of Apache Nutch using Apache Spark
Thamme Gowda
•
Hace 9 años
Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams
ryanorban
•
Hace 9 años
Building a REST Job Server for Interactive Spark as a Service
Cloudera, Inc.
•
Hace 9 años
Apache Spark 1.6 with Zeppelin - Transformations and Actions on RDDs
Timothy Spann
•
Hace 9 años
Next-generation Python Big Data Tools, powered by Apache Arrow
Wes McKinney
•
Hace 9 años
Smart IoT London, 13th April 2016
Boris Adryan
•
Hace 9 años
Top 5 mistakes when writing Spark applications
hadooparchbook
•
Hace 9 años
Advanced Analytics and Recommendations with Apache Spark - Spark Maryland/DC Meetup Feb 22 2016
Chris Fregly
•
Hace 9 años
Extreme Apache Spark: how in 3 months we created a pipeline that can process 2.5 billion rows a day
Josef A. Habdank
•
Hace 9 años
Apache HBase Application Archetypes
Cloudera, Inc.
•
Hace 10 años
Boosting Consumer Engagement at PayPal
gorass
•
Hace 9 años
Stanford CS347 Guest Lecture: Apache Spark
Reynold Xin
•
Hace 10 años
Hadoop Application Architectures - Fraud Detection
hadooparchbook
•
Hace 9 años
Solving Geophysics Problems with Python
Paige Bailey
•
Hace 9 años
Personal Information
Organización/Lugar de trabajo
Korea Korea, South
Ocupación
Manager
Sector
Technology / Software / Internet
Sitio web
www.linkedin.com/in/taewookeom
Acerca de
* 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...
Etiquetas
strataconf
strata
big data
data
spark
hadoopworld
cascading
scala
data programming
kafka
realtime
sparkstreaming
stream
programming
rdd
hadoop
mapreduce
scalding
dataframe
d.camp
dataday
twitter
stratahadoop
Ver más