Jungtaek Lim

145 Abonné

• 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

work from home remote meltingcon nifi storm

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Jungtaek Lim

A Deep Dive into Query Execution Engine of Spark SQL

Flink Forward San Francisco 2019: Adventures in Scaling from Zero to 5 Billion Data Points per Day - Dave Torok

Flink Forward San Francisco 2019: High cardinality data stream processing with large states - Ning Shi

Flink Forward San Francisco 2019: Moving from Lambda and Kappa Architectures to Kappa+ at Uber - Roshan Naik

Massive service basic

Data Engineering 101

Data pipeline and data lake

ORC improvement in Apache Spark 2.3

Surviving agile remote teams - why remote work is a SKILL

Working Remotely

How to Successfully Run a Remote Team

Remote Teams

Working Remotely

State of Remote Work 2018 [Data & Analysis]

스탠포드식 최고의 수면법

Solving Cyber at Scale

Apache Ignite vs Alluxio: Memory Speed Big Data Analytics

Accelerating Big Data Insights

Realizing the Promise of Portable Data Processing with Apache Beam

How Apache Spark and Apache Hadoop are being used to keep banking regulators happy