Matthew (정재화)

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10years + Java & Big data expert career. Cross functional platform basis development experiences - Well organized development skills for hadoop and hadoop eco-system - The Committer of Apache Tajo - Google Summer of Code 2016 mentor for Apache Tajo - The author of Hadoop tech hand book [The first author in Korea nation wide] - Created & achieved an analytic tools for gaming logs and its related data base - Demonstrative skills for the operation and development of gaming industry web portal - Expert for CASE tools / billing and customer management system - Speaker of various conferences : DEVIEW 2013, DEVIEW 2014, BWC 2014, SOSCON 2015

apachetajo #zeppelin #coupang #dataplatform #airflow #bigdata #hadoop #cloud oss opensource git github #apachetajo #hadoop #bigdata bigdata aws sql-on-hadoop hadoop 소프트웨어 개발 프로그래머 오픈소스 개발자

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Matthew (정재화)

Präsentationen

프로그래머를 꿈꾸는 학부 후배들에게

Hadoop과 SQL-on-Hadoop (A short intro to Hadoop and SQL-on-Hadoop)

스타트업 사례로 본 로그 데이터 분석 : Tajo on AWS

Expanding Your Data Warehouse with Tajo

오픈소스 공헌을 위한 필수 지식

[Coupang] Journey to the Continuous and Scalable Big Data Platform : 지속적으로 확장 가능한 빅데이터 플랫폼을 향한 여정

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One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (ANT325) - AWS re:Invent 2018

data platform on kubernetes

Scalable Spark deployment using Kubernetes

Presto as a Service - Tips for operation and monitoring

Making it easy to work with data

Apache Superset at Airbnb

Zeppelin at Twitter

Discovery & Consumption of Analytics Data @Twitter

The journey toward a self-service data platform at Netflix - sf 2019

Dynamic pricing of Lyft rides using streaming

Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia

How to Actually Tune Your Spark Jobs So They Work

ORC improvement in Apache Spark 2.3

Presto & differences between popular SQL engines (Spark, Redshift, and Hive)

2018 제4회 도시빅데이터 세미나: 멜론의 셀프 서비스 분석 환경과 Next

STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Cloudera Hadoop for Big Data Analysis

ABD201-Big Data Architectural Patterns and Best Practices on AWS

ABD318_Architecting a data lake with Amazon S3, Amazon Kinesis, AWS Glue and Amazon Athena

Spark & Zeppelin을 활용한 한국어 텍스트 분류

Design patterns and best practices for data analytics with amazon emr (ABD305)

Spark and S3 with Ryan Blue

Best Practices for Using Apache Spark on AWS

AWS re:Invent 2016: Securing Enterprise Big Data Workloads on AWS (SEC308)

AWS re:Invent 2016: Taking Data to the Extreme (MBL202)

Internals of Presto Service

Scaling your analytics with Amazon EMR

Amazon EMR Deep Dive & Best Practices

Airflow - a data flow engine

AWS April 2016 Webinar Series - S3 Best Practices - A Decade of Field Experience

Maximizing Amazon S3 Performance (STG304) | AWS re:Invent 2013