A Caching Approach to Data Transformation of Legacy RDBMS

Описание

A Caching Approach to Data Transformation of Legacy RDBMS
Gregory Green

A presentation from ApacheCon @Home 2020
https://apachecon.com/acah2020/

This session will a test driven development approach to building data domains where the source system of record is a legacy Relation Database Management System. The initial code will focus on mainframe based DB2 migration. The pattern will be applicable to similar solutions using Oracle, Sybase and other similar traditional relational databases. The talk will highlight the pros and cons of different styles of data pipelines. For example, Day 0 initial loads, Change Data Capture, Event based streams and scheduled pulled based tasks. The following are the highlighted technologies; - Apache Geode - Spring Data Geode - Spring Data/JDBC - Kakfa - Spring Cloud Stream - Spring Task/Spring Batch - Spring Cloud DataFlow

Senior Consultant with over 23 years of software development and architecture experience. Specializing in application transformation from legacy/monolith systems to microservices cloud-native applications with a focus on scalable, highly available and self-healing cloud-native data platforms.