Aydin, AhmetAnderson, Ken2016-12-292016-12-292017-01-04978-0-9981331-0-2http://hdl.handle.net/10125/41876Real-time data collection and analytics is a desirable but challenging feature to provide in data-intensive software systems. To provide highly concurrent and efficient real-time analytics on streaming data at interactive speeds requires a well-designed software architecture that makes use of a carefully selected set of software frameworks. In this paper, we report on the design and implementation of the Incremental Data Collection & Analytics Platform (IDCAP). The IDCAP provides incremental data collection and indexing in real-time of social media data; support for real-time analytics at interactive speeds; highly concurrent batch data processing supported by a novel data model; and a front-end web client that allows an analyst to manage IDCAP resources, to monitor incoming data in real-time, and to provide an interface that allows incremental queries to be performed on top of large Twitter datasets.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 Internationalbig datadata analyticsincrementalreal-timeConference Paper10.24251/HICSS.2017.712