کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
378757 | 659214 | 2014 | 18 صفحه PDF | دانلود رایگان |
This paper describes the Change Data Capture (CDC) problems in the context of column-oriented NoSQL databases (CoNoSQLDBs). CDC is a term mostly used by ETL tools and data warehousing environments (DW) to depict a data processing of extracting data changes made at the data sources. Based on analyzing the impacts and constraints caused by the core features of CoNoSQLDBs, we propose a logical change data (delta) model and the corresponding delta representations which could work with different incremental applications and diverse data targets. Moreover, we present five feasible CDC approaches, i.e. Timestamp-based approach, Audit-column approach, Log-based approach, Trigger-based approach and Snapshot differential approach and indicate the performance winners under different circumstances.
Journal: Data & Knowledge Engineering - Volume 93, September 2014, Pages 42–59