{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T10:27:48Z","timestamp":1769077668216,"version":"3.49.0"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Recent trends in data collection and the decreasing prices of storage result in constantly growing amounts of analyzable\ndata. These masses of data cannot easily be processed by traditional database systems as these do not allow for\na sufficient degree of scalability. Programs especially designed for parallel data analysis on large-scale distributed\nsystems are required. Developing such programs on clusters of commodity hardware is a complex challenge for even the most\nexperienced system developers. Frameworks such as Apache Hadoop are scalable, but \u2013 when compared to SQL \u2013 extremely\nhard to program. The open-source platform Apache Flink is a link between conventional database systems and big data\nanalysis frameworks. Flink is based on a fault tolerant runtime for data stream processing, which manages the distribution\nof data as well as communications within the cluster. A high diversity of use cases can be supported through various\ninterfaces that allow for the implementation of data analysis processes. In this paper, we present an overview of Apache\nFlink as well as some current research activities on top of the Apache Flink ecosystem.<\/jats:p>","DOI":"10.1515\/itit-2016-0005","type":"journal-article","created":{"date-parts":[[2016,6,27]],"date-time":"2016-06-27T16:14:52Z","timestamp":1467044092000},"page":"157-165","source":"Crossref","is-referenced-by-count":12,"title":["Apache Flink in current research"],"prefix":"10.1515","volume":"58","author":[{"given":"Tilmann","family":"Rabl","sequence":"first","affiliation":[{"name":"Technische Universit\u00e4t Berlin, FG DIMA, Einsteinufer 17, 10587 Berlin, Germany"}]},{"given":"Jonas","family":"Traub","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, FG DIMA, Einsteinufer 17, 10587 Berlin, Germany"}]},{"given":"Asterios","family":"Katsifodimos","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, FG DIMA, Einsteinufer 17, 10587 Berlin, Germany"}]},{"given":"Volker","family":"Markl","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, FG DIMA, Einsteinufer 17, 10587 Berlin, Germany"}]}],"member":"374","published-online":{"date-parts":[[2016,6,24]]},"container-title":["it - Information Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/itit.2016.58.issue-4\/itit-2016-0005\/itit-2016-0005.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/itit-2016-0005\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/itit-2016-0005\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T11:44:50Z","timestamp":1624448690000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/itit-2016-0005\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,24]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,6,24]]},"published-print":{"date-parts":[[2016,8,28]]}},"alternative-id":["10.1515\/itit-2016-0005"],"URL":"https:\/\/doi.org\/10.1515\/itit-2016-0005","relation":{},"ISSN":["1611-2776","2196-7032"],"issn-type":[{"value":"1611-2776","type":"print"},{"value":"2196-7032","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,6,24]]}}}