Cheng Feng

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Over 5 years specialized in big data analytic, mainly in Data Acquisition, Marketing Intelligence, Web Analytics, Fraud Detection, Recommendation, etc. Specialties: Machine Learning Algorithms: SVM & Neural Network & PCA & Clustering & Regression & Decision Tree & Outliers Detection; Web Analytics & Clickstream System & Graph Analysis & Data Warehousing; Tools: Hadoop(MapR), Spark(Scala,pyspark,MLlib,SparkSQL,Graphx, Magellan for Geospatial Analytics), Presto, HBase, Hive, Drill, Sqoop, Kafka and Storm. DB: Greenplum & Oracle(11g&10g) & PostgreSQL & Mysql. Also Interested in operation research, convex optimization, stochastic optimization.

dtcc svm strata singapore spark

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Cheng Feng

Stateful, Stateless and Serverless - Running Apache Kafka® on Kubernetes

Part 1: Lambda Architectures: Simplified by Apache Kudu

Improving PySpark Performance - Spark Beyond the JVM @ PyData DC 2016

林佳賢/資料視覺化的 20 個小訣竅

Productionizing Spark and the REST Job Server- Evan Chan

Dreaming Infrastructure

Handling Data Skew Adaptively In Spark Using Dynamic Repartitioning

Apache Spark 2.0: A Deep Dive Into Structured Streaming - by Tathagata Das

1. Apache Kylin Deep Dive - Streaming and Plugin Architecture - Apache Kylin Meetup @Shanghai

Magellen: Geospatial Analytics on Spark by Ram Sriharsha

Sparkcamp stratasingapore

AWSome Day Singapore Keynote 2015

Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big Data

Introduction to Machine Learning

Singapore startup ecosystem and entrepreneur toolbox - Aug 2015

Using Apache Drill

Parquet Hadoop Summit 2013

Titan: The Rise of Big Graph Data

Intro to Graph Databases Using Tinkerpop, TitanDB, and Gremlin

Real time Analytics with Apache Kafka and Apache Spark