Kai Sasaki
29 SlideShares 124 Followers 107 Followings
Personal Information
Organization / Workplace
Within 23 wards, Tokyo, Japan Japan
Occupation
Software engineer - Treasure Data
Industry
Technology / Software / Internet
About
I am a software engineer especially for web and data processing platforms. My experiences are below. - Develop and maintain notification platforms using APNS and GCM - Develop data processing platform such as Hadoop and Storm - Contributing Hadoop, Spark and Storm projects - Operating thousands scale Hadoop cluster - Comitter of DeepLearning4J In addition to these, I have some OSS projects on GitHub
Contact Details
Tags
treasuredata presto hadoop big data software sql cloud aws kernel linux machine learning deep learning arm database open source programming optimization pressto google javascript typescript scala dbts2016 hive embulk opendata ec hdfs code mllib spark drill apache x86 k-means hyperloglog resource os word2vec node
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Presentations

(29)
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THE LEFT ONE

10 years ago • 1196 Views

Deeplearning with node

9 years ago • 5950 Views

Drawing word2vec

9 years ago • 11532 Views

Pattern match with case class

9 years ago • 3551 Views

AutoEncoderで特徴抽出

8 years ago • 37745 Views

Kernel overview

8 years ago • 1702 Views

Kernel resource

8 years ago • 1817 Views

HyperLogLogを用いた、異なり数に基づく
 省リソースなk-meansの
k決定アルゴリズムの提案

8 years ago • 1975 Views

Kernel bootstrap

8 years ago • 1323 Views

Kernel ext4

8 years ago • 1579 Views

Reading drill

8 years ago • 1061 Views

Reading kernel org

8 years ago • 817 Views

How I tried MADE

8 years ago • 1208 Views

Spark MLlib code reading ~optimization~

8 years ago • 835 Views

図でわかるHDFS Erasure Coding

8 years ago • 4772 Views

Maintainable cloud architecture_of_hadoop

7 years ago • 4325 Views

Embulk makes Japan visible

7 years ago • 4250 Views

Managing multi tenant resource toward Hive 2.0

7 years ago • 2218 Views

How to ensure Presto scalability 
in multi use case

6 years ago • 4157 Views

Presto updates to 0.178

6 years ago • 1254 Views

Optimizing Presto Connector on Cloud Storage

6 years ago • 2407 Views

Deep dive into deeplearn.js

6 years ago • 2918 Views

User Defined Partitioning on PlazmaDB

5 years ago • 1426 Views

20180522 infra autoscaling_system

5 years ago • 1170 Views

Real World Storage in Treasure Data

5 years ago • 543 Views

Recent Changes and Challenges for Future Presto

5 years ago • 1260 Views

Continuous Optimization for Distributed BigData Analysis

5 years ago • 1232 Views

Infrastructure for auto scaling distributed system

5 years ago • 1490 Views

Graviton 2で実現する
コスト効率のよいCDP基盤

3 years ago • 2143 Views

Likes

(120)
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Introduction to Polyhedral Compilation

Akihiro Hayashi • 6 years ago

Large-Scale Bandit Problems and KWIK Learning

Junya Saito • 9 years ago

オークションの理論と実践2017

Yosuke YASUDA • 6 years ago

Deep Dive on the Amazon Aurora PostgreSQL-compatible Edition - DAT402 - re:Invent 2017

Amazon Web Services • 5 years ago

TensorFlow XLAは、 中で何をやっているのか？

Mr. Vengineer • 6 years ago

Deep Learning for Personalized Search and Recommender Systems

Benjamin Le • 6 years ago

20170726 py data.tokyo

ManaMurakami1 • 6 years ago

地理分散DBについて

Kumazaki Hiroki • 6 years ago

Compilers Are Databases

Martin Odersky • 7 years ago

Robust Large-Scale Machine Learning in the Cloud

Yuto Yamaguchi • 6 years ago

Make your programs Free

Pawel Szulc • 6 years ago

Beyond Scala Lens

Julien Truffaut • 8 years ago

強化学習その1

nishio • 6 years ago

analists_rating_by_lda_hackday_201702

Shu (shoe116) • 6 years ago

Deep learningの概要とドメインモデルの変遷

Taiga Nomi • 6 years ago

Sparkのクエリ処理系と周辺の話題

Takeshi Yamamuro • 6 years ago

Spring 2016 Intern at Treasure Data

Sotaro Sugimoto • 7 years ago

トランザクションの並行処理制御

Takashi Hoshino • 7 years ago

jcmd #javacasual

Yuji Kubota • 7 years ago

Java仮想マシンの実装技術

Kiyokuni Kawachiya • 7 years ago

シンギュラリティを知らずに機械学習を語るな

hoxo_m • 7 years ago

Learning stochastic neural networks with Chainer

Seiya Tokui • 7 years ago

PyConJP2016: 週末サイエンティストのススメ

Yuta Kashino • 7 years ago

冬のLock free祭り safe

Kumazaki Hiroki • 12 years ago

[245] presto 내부구조 파헤치기

NAVER D2 • 8 years ago

Presto - Hadoop Conference Japan 2014

Sadayuki Furuhashi • 9 years ago

Apache Hive 2.0: SQL, Speed, Scale

DataWorks Summit/Hadoop Summit • 7 years ago

Apache Spark MLlib 2.0 Preview: Data Science and Production

Databricks • 7 years ago

Fluentd Meetup 2016 - ServerEngine Integration & Windows support

Ritta Narita • 7 years ago

Big Data At Spotify

Adam Kawa • 9 years ago
Personal Information
Organization / Workplace
Within 23 wards, Tokyo, Japan Japan
Occupation
Software engineer - Treasure Data
Industry
Technology / Software / Internet
About
I am a software engineer especially for web and data processing platforms. My experiences are below. - Develop and maintain notification platforms using APNS and GCM - Develop data processing platform such as Hadoop and Storm - Contributing Hadoop, Spark and Storm projects - Operating thousands scale Hadoop cluster - Comitter of DeepLearning4J In addition to these, I have some OSS projects on GitHub
Tags
treasuredata presto hadoop big data software sql cloud aws kernel linux machine learning deep learning arm database open source programming optimization pressto google javascript typescript scala dbts2016 hive embulk opendata ec hdfs code mllib spark drill apache x86 k-means hyperloglog resource os word2vec node
See more