Tue 27 Oct 2015 13:30 - 13:52 at Ellwood 1 - Session 3 Chair(s): Ryan Wisnesky

During the past few years, the volume of data raised strongly. As a consequence, new kinds of data stores have emerged like NoSQL family stores. Many modern applications now collect, analyze, and produce data from several heterogeneous sources. However implementing such applications is still difficult because of a lack of appropriate tools and formalisms. We propose a solution to this problem in the context of the JavaScript programming language by extending array comprehensions that are expected to be included in the language in the version 1.7. Our extension allows programmers to query data from popular stores, such as SQL databases, NoSQL databases, web semantics data repositories, or even custom user defined data structures. The extension has been implemented in the Hop.js system. The paper shows its implementation and presents various use cases involving different data stores.

Tue 27 Oct
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13:30 - 15:00: DBPL - Session 3 at Ellwood 1
Chair(s): Ryan Wisnesky
dbpl201513:30 - 13:52
dbpl201513:52 - 14:15
Stefanie Scherzinger, Uta StörlHS Darmstadt, Meike KlettkeUniversität Rostock
dbpl201514:15 - 14:37
Leonard WörtelerUniversity of Konstanz, Michael GrossniklausUniversity of Konstanz, Christian GrünUniversity of Konstanz, Marc H. SchollUniversity of Konstanz
dbpl201514:37 - 15:00
Jeremy GibbonsUniversity of Oxford, UK, Fritz HengleinDIKU, Denmark, Ralf HinzeUniversity of Oxford, UK, Nicolas WuUniversity of Bristol, UK