SeongHyun Jeong

122 Followers

docker yarn machine learning kmeans k-means clustering canopy distributed system pharos monitoring event container hadoop

Aktivität
Info

YARN overview

Vor 9 Jahren • 3744 Aufrufe

Pharos

Vor 9 Jahren • 1262 Aufrufe

Docker기반 분산 플랫폼

Vor 9 Jahren • 4009 Aufrufe

Kmeans with canopy clustering

Vor 9 Jahren • 3040 Aufrufe

RedisConf18 - Redis at LINE - 25 Billion Messages Per Day

Redis Labs • Vor 5 Jahren

Cassandra introduction apache con 2014 budapest

Duyhai Doan • Vor 9 Jahren

자습해도 모르겠던 딥러닝, 머리속에 인스톨 시켜드립니다.

Yongho Ha • Vor 6 Jahren

Stanford CS347 Guest Lecture: Apache Spark

Reynold Xin • Vor 8 Jahren

[261] 실시간 추천엔진 머신한대에 구겨넣기

NAVER D2 • Vor 8 Jahren

[262] netflix 빅데이터 플랫폼

NAVER D2 • Vor 8 Jahren

Hadoop Summit 2015: Performance Optimization at Scale, Lessons Learned at Twitter (Alex Levenson)

Alex Levenson • Vor 8 Jahren

Django in Production

Hyun-woo Park • Vor 8 Jahren

New Developments in Spark

Databricks • Vor 8 Jahren

Gokit

MyoungSu Shin • Vor 8 Jahren

Dive into Catalyst

Cheng Lian • Vor 8 Jahren

스사모 테크톡 - Apache Flink 둘러보기

SangWoo Kim • Vor 8 Jahren

Performance Optimization Case Study: Shattering Hadoop's Sort Record with Spark and Scala

Databricks • Vor 9 Jahren

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Databricks • Vor 9 Jahren

Flink Streaming Hadoop Summit San Jose

Kostas Tzoumas • Vor 8 Jahren

Introducing DataFrames in Spark for Large Scale Data Science

Databricks • Vor 9 Jahren

Apache Hadoop YARN and the Docker Ecosystem

DataWorks Summit • Vor 8 Jahren

Spark DataFrames: Simple and Fast Analytics on Structured Data at Spark Summit 2015

Databricks • Vor 8 Jahren

Efficient in situ processing of various storage types on apache tajo

Hyunsik Choi • Vor 8 Jahren

Zeppelin notebook 만들기

Soo-Kyung Choi • Vor 8 Jahren

빅데이터, 클라우드, IoT, 머신러닝. 왜 이렇게 많은 것들이 나타날까?

Yongho Ha • Vor 8 Jahren

Parquet Hadoop Summit 2013

Julien Le Dem • Vor 10 Jahren

Tajo TPC-H Benchmark Test on AWS

Gruter • Vor 9 Jahren

Spark DataFrames and ML Pipelines

Databricks • Vor 8 Jahren

Akka in Practice: Designing Actor-based Applications

NLJUG • Vor 10 Jahren

Compression Options in Hadoop - A Tale of Tradeoffs

DataWorks Summit • Vor 10 Jahren

왜 레진코믹스는 구글앱엔진을 선택했나

소리 강 • Vor 10 Jahren

쿠키런 1년, 서버개발 분투기

Brian Hong • Vor 9 Jahren

Building and deploying microservices with event sourcing, CQRS and Docker (Berlin microxchg, Munich microservices meetup)

Chris Richardson • Vor 9 Jahren

도커 학습과 Boot2Docker

pyrasis • Vor 9 Jahren

docker yarn machine learning kmeans k-means clustering canopy distributed system pharos monitoring event container hadoop

SeongHyun Jeong

Präsentationen

YARN overview

Pharos

Docker기반 분산 플랫폼

Kmeans with canopy clustering

Gefällt mir

RedisConf18 - Redis at LINE - 25 Billion Messages Per Day

Cassandra introduction apache con 2014 budapest

자습해도 모르겠던 딥러닝, 머리속에 인스톨 시켜드립니다.

Stanford CS347 Guest Lecture: Apache Spark

[261] 실시간 추천엔진 머신한대에 구겨넣기

[262] netflix 빅데이터 플랫폼

Hadoop Summit 2015: Performance Optimization at Scale, Lessons Learned at Twitter (Alex Levenson)

Django in Production

New Developments in Spark

Gokit

Dive into Catalyst

스사모 테크톡 - Apache Flink 둘러보기

Performance Optimization Case Study: Shattering Hadoop's Sort Record with Spark and Scala

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Flink Streaming Hadoop Summit San Jose

Introducing DataFrames in Spark for Large Scale Data Science

Apache Hadoop YARN and the Docker Ecosystem

Spark DataFrames: Simple and Fast Analytics on Structured Data at Spark Summit 2015

Efficient in situ processing of various storage types on apache tajo

Zeppelin notebook 만들기

빅데이터, 클라우드, IoT, 머신러닝. 왜 이렇게 많은 것들이 나타날까?

Parquet Hadoop Summit 2013

Tajo TPC-H Benchmark Test on AWS

Spark DataFrames and ML Pipelines

Akka in Practice: Designing Actor-based Applications

Compression Options in Hadoop - A Tale of Tradeoffs

왜 레진코믹스는 구글앱엔진을 선택했나

쿠키런 1년, 서버개발 분투기

Building and deploying microservices with event sourcing, CQRS and Docker (Berlin microxchg, Munich microservices meetup)

도커 학습과 Boot2Docker