Personal Information
Organização/Local de trabalho
Korea Korea, South
Cargo
Big data system architect working at SK Telecom
Setor
Technology / Software / Internet
Sobre
I am working at SK telecom where I have been solving real world problems of semiconductor and energy companies in our SK group using big data systems like Spark and Flink. In addition, I use a broad range of technologies to build complete solutions: Grafana, InfluxDB, Prometheus, Docker, and TensorFlow (to load trained models).
Marcadores
flink
kubernetes
spark
web
sql
lstm
deep learning
keras
docker
zookeeper
benchmark
presto
tpcds
hive
sql-on-hadoop
tez
hashjoin
mapreduce
terasort
Ver mais
Apresentações
(7)Gostaram
(13)Flink on Kubernetes operator
Eui Heo
•
Há 3 anos
Flink Forward Berlin 2017: Dongwon Kim - Predictive Maintenance with Apache Flink
Flink Forward
•
Há 6 anos
Flink Connector Development Tips & Tricks
Eron Wright
•
Há 4 anos
Real-time Puppies and Ponies - Evolving Indicator Recommendations in Real-time
Ted Dunning
•
Há 9 anos
Apache flink 1.7 and Beyond
Till Rohrmann
•
Há 5 anos
Flink Forward Berlin 2018: Nico Kruber - "Improving throughput and latency with Flink's network stack"
Flink Forward
•
Há 5 anos
Aggregation Queries of Druid
Navis Ryu
•
Há 5 anos
Flink Forward SF 2017: Eron Wright - Introducing Flink Tensorflow
Flink Forward
•
Há 7 anos
An Introduction to Kubernetes
Imesh Gunaratne
•
Há 9 anos
Kubernetes networking: Introduction to overlay networks, communication models and implementation
Murat Mukhtarov
•
Há 8 anos
Distributed real time stream processing- why and how
Petr Zapletal
•
Há 8 anos
Dongwon Kim – A Comparative Performance Evaluation of Flink
Flink Forward
•
Há 8 anos
Michael Häusler – Everyday flink
Flink Forward
•
Há 8 anos
Personal Information
Organização/Local de trabalho
Korea Korea, South
Cargo
Big data system architect working at SK Telecom
Setor
Technology / Software / Internet
Sobre
I am working at SK telecom where I have been solving real world problems of semiconductor and energy companies in our SK group using big data systems like Spark and Flink. In addition, I use a broad range of technologies to build complete solutions: Grafana, InfluxDB, Prometheus, Docker, and TensorFlow (to load trained models).
Marcadores
flink
kubernetes
spark
web
sql
lstm
deep learning
keras
docker
zookeeper
benchmark
presto
tpcds
hive
sql-on-hadoop
tez
hashjoin
mapreduce
terasort
Ver mais