Efficient integrating data from multiple data providers

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2019 DevDay Efficient Integrating Data From Multiple Data Providers > Yu-Mei Chen > LINE Taiwan Backend Software Engineer

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Subtitle

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Partner A LINE SPOT Users Partner B Partner C … $

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Practices From Cooperating with Partners > Open-Closed Principle  There are no permanent enemies, and no permanent friends. > Generalization & Customization  Fighting for general data structures,  but still keep a flexible layer for customized. > Processing Data Manually  Always Preparing the manual way to update the data,  such as updating data by import the .csv files.

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Reference: Chapter 1 of “Designing Data-Intensive Applications”, Author: Martin Kleppmenn Its All About “Maintainability” Operability Evolvability Simplicity

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Reference: Chapter 1 of “Designing Data-Intensive Applications”, Author: Martin Kleppmenn Its All About “Maintainability” Processing Data Manually Operability Generalization & Customization Evolvability Simplicity Open-Closed Principle

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Our Solution: Event Sourcing A Cloud Design Pattern for Backend Architecture

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Event Sourcing With Kafka Apache Kafka Partner A Stream Store Service Coupon Service Voucher Service Store  Locator Kafka Connector Kafka Connector Kafka Connector Partner B Stream Partner C Stream … Stream Partner Dispatcher Mysql POI DB Mysql Coupon DB Mysql Voucher DB Elasticsearch Materialize  View for  Store

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Processing Data Manually Apache Kafka Partner A Stream Store Service Coupon Service Voucher Service Store  Locator Kafka Connector Kafka Connector Kafka Connector Partner B Stream Partner C Stream … Stream Partner Dispatcher Mysql POI DB Mysql Coupon DB Mysql Voucher DB Elasticsearch Materialize  View for  Store

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Open-Closed Principle Apache Kafka Partner A Stream Store Service Coupon Service Voucher Service Store  Locator Kafka Connector Kafka Connector Kafka Connector Partner B Stream Partner C Stream … Stream Partner Dispatcher Mysql POI DB Mysql Coupon DB Mysql Voucher DB Elasticsearch Materialize  View for  Store

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Generalization & Customization Apache Kafka Partner A Stream Store Service Coupon Service Voucher Service Store  Locator Kafka Connector Kafka Connector Kafka Connector Partner B Stream Partner C Stream … Stream Partner Dispatcher Mysql POI DB Mysql Coupon DB Mysql Voucher DB Elasticsearch Materialize  View for  Store

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Summary > Challenge in LINE SPOT: Maintainability  > Solution: Event Sourcing Thank You for Listening And welcome for further discussion: [email protected]