PPT-An Example Data Stream Management System: TelegraphCQ

Author : phoebe-click | Published Date : 2016-04-01

INF5100 Autumn 2009 Jarle Søberg INF5100 Autumn 2009 Jarle Søberg TelegraphCQ Introduction and overview Description of concepts Wrappers Fjords Eddies SteMs

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An Example Data Stream Management System: TelegraphCQ: Transcript

INF5100 Autumn 2009 Jarle Søberg INF5100 Autumn 2009 Jarle Søberg TelegraphCQ Introduction and overview Description of concepts Wrappers Fjords Eddies SteMs CACQ Other features A practical overview. Matvey . Arye. , Princeton/Cloudflare. Albert . Strasheim. , . Cloudflare. Awesome CDN service for websites big & small. Millions of request a second peak. 24 data centers across the globe. Data Analysis. Tao Huang, . Shrideep. . Pallickara. , Geoffrey Fox. Community Grids Lab. Indiana University, Bloomington. . {. taohuang. , . spallick. , . gcf}@indiana.edu. Outline. Analysis of existing Collaboration and Annotation Systems. Supun . Kamburugamuve. For the PhD Qualifying Exam. 12-. 19-. 2013. . Advisory Committee. Prof. Geoffrey Fox. Prof. David . Leake. Prof. Judy . Qiu. Outline. Big . Data Analytics . Stack. Stream Processing. BASE DATA FOR IMIS. . HABITATION DIRECTORY DATA:. . State, District, Block, Division, Panchayat, Village, Habitation. SCHEME DATA:. . Piped Water Supply, Spot Sources Schemes, Treatment Plants/Units, Augmentation of Schemes. 1. Hetal. . Thakkar. , . Nikolay. Laptev, . Hamid. . Mousavi. , . Barzan. . Mozafari. , . Vincenzo. Russo, Carlo Zaniolo. . Computer Science Department UCLA. Data Stream Management Systems (DSMS). Lesson 1. Bernhard Pfahringer. University of Waikato, New Zealand. 2. Or:. Why . YOU. should care about Stream Mining. Overview. 3. Why is stream mining important?. How is it different from batch ML?. Supun . Kamburugamuve. For the PhD Qualifying Exam. 12-. 19-. 2013. . Advisory Committee. Prof. Geoffrey Fox. Prof. David . Leake. Prof. Judy . Qiu. Outline. Big . Data Analytics . Stack. Stream Processing. BASE DATA FOR IMIS. . HABITATION DIRECTORY DATA:. . State, District, Block, Division, Panchayat, Village, Habitation. SCHEME DATA:. . Piped Water Supply, Spot Sources Schemes, Treatment Plants/Units, Augmentation of Schemes. connected homes. Trinabh. Gupta*,. Amar . Phanishayee. , . Jaeyeon. . Jung, . Ratul. . Mahajan. *The University of Texas at Austin. Microsoft Research. 1. Smart . devices. at . home. HomeOS. Mi. Casa Verde. Arnav Agarwal. Srujun Thanmay Gupta. Shivam. . Bharuka. What is Stream Processing?. Infrastructure for continuous processing of data. Various applications for analysis of live data streams. Two types of operations:. TRACDS. Middle East Technical University. October . 31, . 2012. Margaret . H . Dunham, . Michael . Hahsler, Yu . Su, . Sudheer. . Chelluboina. , . and Hadil Shaiba. Computer . Science and . Engineering . Community health offsite meeting. Geneva, 21 August 2015. Purpose of RAMP. To provide a system with which RCRC National Societies and other partners can conduct surveys, assessments, evaluations, monitor activities, and manage projects:. RS Software (India) Limited. References: . Mining of Massive Data Sets, 2014 : . Leskovec. , . Rajaraman. , Ullman. Data Streams – Models and Algorithms, 2007 : . Charu. C . Aggarwal. Content. Business . Isla McLean (Project Manager). Steve Beakhust (Programme Manager). Apollo Gerolymbos (National Data Lead). Agenda. Background. https://www.firestandards.org/approved-standards/data-management/. . Where does this sit within national data projects?.

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