Ka Wing Chung

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Big data initiative project is involved in current position as a research purpose. Any items such as concept and platform related to Big Data are also in the research area. Azure platform and Splunk are also in investigation and study. Tools and skill used : Hadoop, Spark ,Scala, Machine Learning In previous job mainly responsible for development of Middle and Back Office system focusing in equities, which included data modeling and business process implementation. Tools and skill used: Linux, Oracle, SQL, Java, Spring, Hibernate, GWT, Eclipse, GIT, Maven

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Ka Wing Chung

大數據的關鍵思考（上）重點摘要原著者：車品覺

The Mechanics of Testing Large Data Pipelines (QCon London 2016)

Cloud Native Predictive Data Pipelines (micro talk)

Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn

Netflix Data Pipeline With Kafka

Data pipeline with kafka

Deep Dive on the Amazon Aurora MySQL-compatible Edition - DAT301 - re:Invent 2017

深入淺出學習雲端開發軟件 AWS Cloud9

Fast Data Analytics with Spark and Python

Building a Data Pipeline from Scratch - Joe Crobak

Welcome and AWS Big Data Solution Overview

Redis sentinelinternals deview

Everything you always wanted to know about Redis but were afraid to ask

Building Data Pipelines in Python

Recommender Systems (Machine Learning Summer School 2014 @ CMU)

Clustering Technique for Collaborative Filtering Recommendation and Application to Venue Recommendation

Design of recommender systems

Recommendation at Netflix Scale

Kdd 2014 Tutorial - the recommender problem revisited

Google's Dremel