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Schema Evolution for Databases and Data Warehouses.

, , , and . eBISS, volume 253 of Lecture Notes in Business Information Processing, page 1-31. Springer, (2015)

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ARKTOS: A Tool For Data Cleaning and Transformation in Data Warehouse Environments., , , and . IEEE Data Eng. Bull., 23 (4): 42-47 (2000)Rule-Based Management of Schema Changes at ETL Sources., , , , and . ADBIS (Workshops), volume 5968 of Lecture Notes in Computer Science, page 55-62. Springer, (2009)Schema Evolution for Databases and Data Warehouses., , , and . eBISS, volume 253 of Lecture Notes in Business Information Processing, page 1-31. Springer, (2015)Developing Mobile Commerce Applications., , , , and . J. Electron. Commer. Organ., 6 (1): 63-78 (2008)The three-step refactoring detector pattern., , and . EuroPLoP, page 19:1-19:9. ACM, (2019)Do People Use Naming Conventions in SQL Programming?, , and . SOFSEM, volume 12011 of Lecture Notes in Computer Science, page 429-440. Springer, (2020)Recommending Trips in the Archipelago of Refactorings., , , and . SOFSEM, volume 12011 of Lecture Notes in Computer Science, page 467-478. Springer, (2020)Near Real Time ETL., and . New Trends in Data Warehousing and Data Analysis, volume 3 of Annals of Information Systems, Springer, (2009)Jenga and the Art of Data-Intensive Ecosystems Maintenance.. EDA, volume B-9 of RNTI, page 5. Hermann, (2013)A Survey of Extract-Transform-Load Technology.. Integrations of Data Warehousing, Data Mining and Database Technologies, Information Science Reference, (2011)