Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Software Engineer at Hortonworks, Committer & PMC Member of Apache Storm, Committer of Jedis
Industry
Technology / Software / Internet
Website
http://www.heartsavior.net
About
• Over eight years of development experience
• Domain experience: Search Service, Streaming Framework
• Professional interest: design and develop large system that can be centralized to operate, easy to scale, handles large data with distribute processing.
• Loves OSPs: collaborator (committer) of Jedis, committer / PMC member of Apache Storm, contributing to Apache Spark, Apache Calcite, Apache Ambari, Apache Zeppelin, Redis, AsyncHBase, Fluentd, and so on.
• http://github.com/heartsavior
Tags
work from home
remote
meltingcon
nifi
storm
See more
Presentations
(5)Likes
(117)A Deep Dive into Query Execution Engine of Spark SQL
Databricks
•
4 years ago
Flink Forward San Francisco 2019: Adventures in Scaling from Zero to 5 Billion Data Points per Day - Dave Torok
Flink Forward
•
5 years ago
Flink Forward San Francisco 2019: High cardinality data stream processing with large states - Ning Shi
Flink Forward
•
5 years ago
Flink Forward San Francisco 2019: Moving from Lambda and Kappa Architectures to Kappa+ at Uber - Roshan Naik
Flink Forward
•
5 years ago
Massive service basic
DaeMyung Kang
•
5 years ago
Data Engineering 101
DaeMyung Kang
•
5 years ago
Data pipeline and data lake
DaeMyung Kang
•
5 years ago
ORC improvement in Apache Spark 2.3
Dongjoon Hyun
•
6 years ago
Surviving agile remote teams - why remote work is a SKILL
Jens Broos
•
6 years ago
Working Remotely
ResultWorx Technology Group
•
13 years ago
How to Successfully Run a Remote Team
Weekdone.com
•
8 years ago
Remote Teams
Andrew Schwartz
•
9 years ago
Working Remotely
Jeremy Horn
•
8 years ago
State of Remote Work 2018 [Data & Analysis]
Buffer
•
6 years ago
스탠포드식 최고의 수면법
동휘 고
•
6 years ago
Solving Cyber at Scale
DataWorks Summit
•
6 years ago
Apache Ignite vs Alluxio: Memory Speed Big Data Analytics
DataWorks Summit
•
6 years ago
Accelerating Big Data Insights
DataWorks Summit
•
6 years ago
Realizing the Promise of Portable Data Processing with Apache Beam
DataWorks Summit
•
6 years ago
How Apache Spark and Apache Hadoop are being used to keep banking regulators happy
DataWorks Summit
•
6 years ago
Breaching the 100TB Mark with SQL Over Hadoop
DataWorks Summit
•
6 years ago
Unified Batch & Stream Processing with Apache Samza
DataWorks Summit
•
6 years ago
Cloud Operations with Streaming Analytics using Apache NiFi and Apache Flink
DataWorks Summit
•
6 years ago
Meet Apache HBase - 2.0
DataWorks Summit
•
6 years ago
Big Data Storage - Comparing Speed and Features for Avro, JSON, ORC, and Parquet
DataWorks Summit
•
6 years ago
When OLAP Meets Real-Time, What Happens in eBay?
DataWorks Summit
•
6 years ago
YARN - Past, Present, & Future
DataWorks Summit
•
6 years ago
SAM - Streaming Analytics Made Easy
DataWorks Summit
•
6 years ago
Troubleshooting Kerberos in Hadoop: Taming the Beast
DataWorks Summit
•
6 years ago
Apache Hadoop 3.0 Community Update
DataWorks Summit
•
6 years ago
Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Software Engineer at Hortonworks, Committer & PMC Member of Apache Storm, Committer of Jedis
Industry
Technology / Software / Internet
Website
http://www.heartsavior.net
About
• Over eight years of development experience
• Domain experience: Search Service, Streaming Framework
• Professional interest: design and develop large system that can be centralized to operate, easy to scale, handles large data with distribute processing.
• Loves OSPs: collaborator (committer) of Jedis, committer / PMC member of Apache Storm, contributing to Apache Spark, Apache Calcite, Apache Ambari, Apache Zeppelin, Redis, AsyncHBase, Fluentd, and so on.
• http://github.com/heartsavior
Tags
work from home
remote
meltingcon
nifi
storm
See more