Continuous Metadata in Continuous Integration,Stream Processing and Enterprise DataOps  

作　　者：Mark Underwood 

机构地区：[1]Data Kitchen Headquarters,One Broadway,14th Floor Cambridge,MA 02142,USA

出　　处：《Data Intelligence》2023年第1期275-287,共13页数据智能（英文）

摘　　要：Implementations of metadata tend to favor centralized,static metadata.This depiction is at variance with the past decade of focus on big data,cloud native architectures and streaming platforms.Big data velocity can demand a correspondingly dynamic view of metadata.These trends,which include DevOps,CI/CD,DataOps and data fabric,are surveyed.Several specific cloud native tools are reviewed and weaknesses in their current metadata use are identified.Implementations are suggested which better exploit capabilities of streaming platform paradigms,in which metadata is continuously collected in dynamic contexts.Future cloud native software features are identified which could enable streamed metadata to power real time data fusion or fine tune automated reasoning through real time ontology updates.

关 键 词：METADATA real time data stream processing 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F272[自动化与计算机技术—计算机科学与技术]