Taewook Eom

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* 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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Taewook Eom

Parquet and AVRO

Hadoop application architectures - using Customer 360 as an example

Decoupling Decisions with Apache Kafka

How to Build a Recommendation Engine on Spark

Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python

Top 5 Mistakes to Avoid When Writing Apache Spark Applications

Recsys 2014 Tutorial - The Recommender Problem Revisited

Spark shuffle introduction

영어로 논문쓰기 - 읽기 쓰기 통합 전략을 중심으로

Introduction to Kafka Streams

Kanban@NBT

Your data isn't that big @ Big Things Meetup 2016-05-16

Deep Dive Into Catalyst: Apache Spark 2.0’s Optimizer

Introducing Kafka Streams, the new stream processing library of Apache Kafka, Berlin Buzzwords 2016

Hardcore Data Science - in Practice

Broken Linux Performance Tools 2016

Clustering output of Apache Nutch using Apache Spark

Bridging the Gap Between Data Science & Engineer: Building High-Performance Teams

Building a REST Job Server for Interactive Spark as a Service

Apache Spark 1.6 with Zeppelin - Transformations and Actions on RDDs