FLUX: From SQL to GQL query translation tool


연구 분야: Databases



학회: 2020 35th IEEE/ACM International Conference on Automated Software Engineering (ASE)


초록

With the influx of Web 3.0 the focus in Big Data Analytics has shifted towards modelling highly interconnected data and analysing relationships between them. Graph databases befit the requirements of Big Data Analytics yet organizations still depend on relational databases. A major roadblock in the industry wide adoption of graph databases is that a standard query language is still in its inception stage hence withholding interoperability between the two technologies. In this research we propose a tool FLUX for translating relational database queries to graph database queries.


Author Profile
Chandan Sharma

Auckland University of Technology Auckland New Zealand

New Zealand

📄 논문 정보

발행 연도 2020년
인용수 3
출판 국가 New Zealand
사이트 IEEE
좋아요 수 0

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