Abstract
In this paper, we propose NoDA, an abstraction layer consisting of spatio-temporal data access operators, which is used to access NoSQL storage engines in a unified way. NoDA alleviates the burden from big data developers of learning the query language of each NoSQL store, and offers a unified view of the underlying NoSQL store. Our approach is inspired by the equivalent paradigm of drivers (such as JDBC) in the relational database world, where the application code is indifferent to the exact underlying database engine. Still, the challenges in the NoSQL world are manifold, because of the lack of standardization in data access. We focus on the specific case of mobility data, and show how spatial and spatio-temporal operators, such as range queries and k-nearest neighbor, are supported in a unified way. Moreover, we present challenges and solutions for supporting spatial and spatio-temporal data in NoSQL stores.
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