{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:08:50Z","timestamp":1758272930570,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Research and Development on Real World Big Data Integration and Analysis, RIKEN"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,11,6]]},"DOI":"10.1145\/3132847.3133165","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"2527-2530","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["StreamingCube"],"prefix":"10.1145","author":[{"given":"Salman Ahmed","family":"Shaikh","sequence":"first","affiliation":[{"name":"University of Tsukuba, Tsukuba, Japan"}]},{"given":"Hiroyuki","family":"Kitagawa","sequence":"additional","affiliation":[{"name":"University of Tsukuba, Tsukuba, Japan"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1007\/978-3-540-28608-0_16","volume-title":"STREAM: The Stanford Data Stream Management System","author":"Arasu A.","year":"2016","unstructured":"Arasu , A. , Babcock , B. , Babu , S. , Cieslewicz , J. , Datar , M. , Ito , K. , Motwani , R. , Srivastava , U. , and Widom , J . STREAM: The Stanford Data Stream Management System . Springer , 2016 , pp. 317 -- 336 . Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Motwani, R., Srivastava, U., and Widom, J. STREAM: The Stanford Data Stream Management System. Springer, 2016, pp. 317--336."},{"key":"e_1_3_2_1_2_1","first-page":"1272","volume-title":"Jaql: A scripting language for large scale semistructured data analysis","author":"Beyer K. S.","unstructured":"Beyer , K. S. , Ercegovac , V. , Gemulla , R. , Balmin , A. , Eltabakh , M. Y. , Kanne , C. , \u00d6zcan , F. , and Shekita , E. J . Jaql: A scripting language for large scale semistructured data analysis . vol. 4 , pp. 1272 -- 1283 . Beyer, K. S., Ercegovac, V., Gemulla, R., Balmin, A., Eltabakh, M. Y., Kanne, C., \u00d6zcan, F., and Shekita, E. J. Jaql: A scripting language for large scale semistructured data analysis. vol. 4, pp. 1272--1283."},{"key":"e_1_3_2_1_3_1","first-page":"4","article-title":"Apache flink#8482;: Stream and batch processing in a single engine","volume":"38","author":"Carbone P.","year":"2015","unstructured":"Carbone , P. , Katsifodimos , A. , Ewen , S. , Markl , V. , Haridi , S. , and Tzoumas , K . Apache flink#8482;: Stream and batch processing in a single engine . IEEE Data Eng. Bull. 38 , 4 ( 2015 ), 28--38. Carbone, P., Katsifodimos, A., Ewen, S., Markl, V., Haridi, S., and Tzoumas, K. Apache flink#8482;: Stream and batch processing in a single engine. IEEE Data Eng. Bull. 38, 4 (2015), 28--38.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735496.2735503"},{"key":"e_1_3_2_1_5_1","volume-title":"http:\/\/cassandra.apache.org\/","author":"Foundation","year":"2017","unstructured":"Foundation ., T. A. S. Apache Cassandra . http:\/\/cassandra.apache.org\/ , 2017 . {Online; accessed 14-February-2017}. Foundation., T. A. S. Apache Cassandra. http:\/\/cassandra.apache.org\/, 2017. {Online; accessed 14-February-2017}."},{"key":"e_1_3_2_1_6_1","unstructured":"Foundation. T. A. S. Apache Spark - Lightning-Fast Cluster Computing. http:\/\/spark.apache.org\/ 2017. {Online; accessed 17-February-2017}.  Foundation. T. A. S. Apache Spark - Lightning-Fast Cluster Computing. http:\/\/spark.apache.org\/ 2017. {Online; accessed 17-February-2017}."},{"key":"e_1_3_2_1_7_1","volume-title":"http:\/\/storm.apache.org\/","author":"Foundation","year":"2017","unstructured":"Foundation ., T. A. S. Apache Storm . http:\/\/storm.apache.org\/ , 2017 . {Online; accessed 23-February-2017}. Foundation., T. A. S. Apache Storm. http:\/\/storm.apache.org\/, 2017. {Online; accessed 23-February-2017}."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/170035.170066"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10619-005-3296-1"},{"key":"e_1_3_2_1_10_1","unstructured":"Inc. M. MemSQL: The Fastest In-Memory Database. http:\/\/www.memsql.com\/ 2017. {Online; accessed 14-February-2017}.  Inc. M. MemSQL: The Fastest In-Memory Database. http:\/\/www.memsql.com\/ 2017. {Online; accessed 14-February-2017}."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.14778\/2336664.2336670"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458107"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363771"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915246"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-10424-4_17"},{"key":"e_1_3_2_1_16_1","volume-title":"Proc. CIDR","author":"Ramnarayan J.","year":"2017","unstructured":"Ramnarayan , J. , Mozafari , B. , Wale , S. , Menon , S. , Kumar , N. , Bhanawat , H. , Chakraborty , S. , Mahajan , Y. , Mishra , R. , and Bachhav , K . Snappydata: A unified cluster for streaming, transactions and interactice analytics . In Proc. CIDR ( 2017 ). Ramnarayan, J., Mozafari, B., Wale, S., Menon, S., Kumar, N., Bhanawat, H., Chakraborty, S., Mahajan, Y., Mishra, R., and Bachhav, K. Snappydata: A unified cluster for streaming, transactions and interactice analytics. In Proc. CIDR (2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"Learning Spark","author":"Zaharia M.","year":"2015","unstructured":"Zaharia , M. , Wendell , P. , Konwinski , A. , and Karau , H . Learning Spark . O'Reilly Media, Inc. , 2015 . Zaharia, M., Wendell, P., Konwinski, A., and Karau, H. Learning Spark. O'Reilly Media, Inc., 2015."}],"event":{"name":"CIKM '17: ACM Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Singapore Singapore","acronym":"CIKM '17"},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3133165","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3133165","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:10:59Z","timestamp":1750212659000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3133165"}},"subtitle":["A Unified Framework for Stream Processing and OLAP Analysis"],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":17,"alternative-id":["10.1145\/3132847.3133165","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3133165","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}