Personal Information
Occupation
Solutions Architect
Industry
Technology / Software / Internet
Website
github.com/ksmin23
Tags
elasticsearch
machine learning
aws sagemaker
aws msk
kafka
aws athena
lambda architecture
kinesis data streams
amazon athena
aws elasticsearch service
aws spark
kinesis data analytics
aws emr
textract
aws
neptune
remember
aws reinvent 2019
sagemaker
amazon rekognition custom labels
visual image search
amazon sagemaker
amazon rekognition
data analytics
xgboost
gradient descent
deep learning
aws reinvent 2020
quicksight q
redshift ml
glue databrew
startup
data lake
aws personalize
aws kinesis data analytics
aws fraud detector
aws comprehend
gpu
kappa architecture
amazon msk
ocr
bizcard
flink
ctas
amazon web services
kibana
aws s3
aws quicksight
aws redshift
aqua
ra3
athena
federated query
materialized view
rds proxy
redshift
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databases
octember
ai/ml
rekognition
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Presentations
(15)Likes
(561)Discovering User's Topics of Interest in Recommender Systems
Gabriel Moreira
•
7 years ago
MySQL Replication Performance Tuning for Fun and Profit!
Vitor Oliveira
•
6 years ago
Using Apache Spark and MySQL for Data Analysis
Sveta Smirnova
•
7 years ago
More mastering the art of indexing
Yoshinori Matsunobu
•
14 years ago
Build Computer Vision Applications with Amazon Rekognition
Amazon Web Services
•
5 years ago
Amazon SageMaker와 Athena를 활용한 대용량 자연어 처리 및 머신러닝 기법 (김필호, AWS AI Specialist 솔루션즈 아키텍트) :: AWS DevDay 2018
Amazon Web Services Korea
•
5 years ago
지혜로운 프리젠테이션 7가지 팁
Jinho Jung
•
12 years ago
프리젠테이션 이야기
Jinho Jung
•
10 years ago
DASK and Apache Spark
Databricks
•
4 years ago
스타트업은 데이터를 어떻게 바라봐야 할까? (개정판)
Yongho Ha
•
10 years ago
Amazon ECS/ECR을 활용하여 마이크로서비스 구성하기 - 김기완 (AWS 솔루션즈아키텍트)
Amazon Web Services Korea
•
6 years ago
AWS 상의 컨테이너 서비스 소개 ECS, EKS - 이종립 / Principle Enterprise Evangelist @베스핀글로벌
BESPIN GLOBAL
•
4 years ago
Future of Data Engineering
C4Media
•
4 years ago
Microservices Integration Patterns with Kafka
Kasun Indrasiri
•
5 years ago
Knative로 서버리스 워크로드 구현
Jinwoong Kim
•
5 years ago
[DataDay] 지표의 개념과 활용
Alex Suh
•
9 years ago
실전 스타트업 데이터분석: 소셜데이팅 이음은 이렇게 한다
승화 양
•
10 years ago
Data visualisation
Harvinder Atwal
•
11 years ago
Linux Networking Explained
Thomas Graf
•
7 years ago
Presto conferencetokyo2019
wyukawa
•
4 years ago
[MeetUp][1st] 오리뎅이의_쿠버네티스_네트워킹
InfraEngineer
•
4 years ago
Container Networking Deep Dive
Open Networking Summit
•
7 years ago
4 Questions to Ask Your Dev Team
VMware Tanzu
•
4 years ago
비즈니스 혁신 가속화와 효과적 규정 준수를 위한 AWS ISMS 소개::신종회::AWS Summit Seoul 2018
Amazon Web Services Korea
•
6 years ago
Anatomy of a Container: Namespaces, cgroups & Some Filesystem Magic - LinuxCon
Jérôme Petazzoni
•
8 years ago
Deep dive into Kubernetes Networking
Sreenivas Makam
•
5 years ago
The Kubernetes Effect
Bilgin Ibryam
•
5 years ago
'Growth Hacking (그로스 해킹)’ 적용 사례
RocketPunch Inc.
•
9 years ago
웹을 지탱하는 기술
정혁 권
•
11 years ago
Personal Information
Occupation
Solutions Architect
Industry
Technology / Software / Internet
Website
github.com/ksmin23
Tags
elasticsearch
machine learning
aws sagemaker
aws msk
kafka
aws athena
lambda architecture
kinesis data streams
amazon athena
aws elasticsearch service
aws spark
kinesis data analytics
aws emr
textract
aws
neptune
remember
aws reinvent 2019
sagemaker
amazon rekognition custom labels
visual image search
amazon sagemaker
amazon rekognition
data analytics
xgboost
gradient descent
deep learning
aws reinvent 2020
quicksight q
redshift ml
glue databrew
startup
data lake
aws personalize
aws kinesis data analytics
aws fraud detector
aws comprehend
gpu
kappa architecture
amazon msk
ocr
bizcard
flink
ctas
amazon web services
kibana
aws s3
aws quicksight
aws redshift
aqua
ra3
athena
federated query
materialized view
rds proxy
redshift
analytics
databases
octember
ai/ml
rekognition
See more