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Flink Case Study: Otto Group

Date post: 08-Jan-2017
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w/ catalogue business, e-commerce and over- the-counter retail Multichannel Retail covering the entire portfolio of retail services across the value-added chain Services World’s Second-Largest Online Retailer in End-Consumer Business Europe’s Largest Online Retailer in End-Consumer Fashion & Lifestyle Business providing retail-related financial services across the value- added chain Financial Services
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Page 1: Flink Case Study: Otto Group

w/ catalogue business, e-commerce and over-the-counter retail

Multichannel Retail

covering the entire portfolio of retail services across the value-added chain

Services

World’s Second-Largest Online Retailer in End-Consumer BusinessEurope’s Largest Online Retailer in End-Consumer Fashion & Lifestyle Business

providing retail-related financial services across the value-added chain

Financial Services

Page 2: Flink Case Study: Otto Group

Use CaseUser Agent Identification & Association

Web

Tracking

make or buy

Report requires up-to-date device list

streams api

Page 3: Flink Case Study: Otto Group

Use CaseUser Agent Identification & Association

streams api

WebtrendsStreamSource extends

RichParallelSourceFunction

InputDataToUserAgentStringimplements

FlatMapFunction

csv

Accumulator Collector based on JobManager features

JSONToCSVimplements

MapFunction

NewUserAgentStringFilterimplements

RichFilterFunction

Accumulator API

Page 4: Flink Case Study: Otto Group

STATIC VS DYNAMIC STREAM PROCESSING

Christian Kreutzfeldt@mnxfst

today, 5.30pm @ Kesselhaus

Christian Kreutzfeldt@mnxfst

STATIC VS DYNAMIC STREAM PROCESSING


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