eXtreme Programming for ETL and Data Analytics
summary
Describes applying Extreme Programming practices (User Stories, Evolutionary Design, TDD, BDD, Refactoring, Continuous Integration, Automation) to ETL and data analytics work on a J2EE product and the SAS platform. Covers practical problems the team encountered—finding a unit-testing framework, structuring ETL/code modules, and configuring CI builds—and explains the solutions they developed.
AI-written summary · about
related talks
39mLeaving ETLs Behind: Moving from a ‘Code Less’ Solution to a ‘Code Full’ Approach
51mTechnical Excellence, You Need It!
01h 20mSupercharging Operations and Analytics: Using Spring XD to Support Analytics and CEP
38mUnleashing the Power of Analytics Engineering
39mWhat Can Go Wrong With Testing an ETL Pipeline?
38mBI DataOps Development Process
24mGotta Feed the Beast - Data Engineering at Scale
44mThe Changing Face of ETL: Event-Driven Architectures for Data Engineers