PPT-Big Data, Stream Processing & Algorithms

Author : kittie-lecroy | Published Date : 2015-12-01

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

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Big Data, Stream Processing & Algorithms: Transcript

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. Nitzan. . Weissman. 1. Overview. What is a streaming algorithm?. Data stream algorithms:. Finding Maximum. Counting distinct elements. Graph Stream algorithms:. Insert-only streams- spanners. Sliding window- connectivity. 1. Hetal. . Thakkar. , . Nikolay. Laptev, . Hamid. . Mousavi. , . Barzan. . Mozafari. , . Vincenzo. Russo, Carlo Zaniolo. . Computer Science Department UCLA. Data Stream Management Systems (DSMS). 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. Lecture . 10: . Sublinear. Algorithm. Zhu Han. University of Houston. Thanks for Professor Dan Wang’s slides. 1. outline. Motivations. Inequalities and classifications . Examples. Applications. 2. David Woodruff . IBM . Almaden. J. oint works with Arnab Bhattacharyya, Vladimir . Braverman. , Stephen R. Chestnut, . Palash. . Dey. Nikita . Ivkin. , Jelani Nelson, and . Zhengyu. Wang. Streaming Model. 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:. Madan Musuvathi. . Visiting Professor, UCLA . Principal Researcher, Microsoft Research. Mid-point feedback. Are you learning from the papers we are reading?. Do you find class discussions helpful?. Does preparing for the class presentation help? . Pipelining. Instruction Pipeline. Pipeline Hazards and their solution. Array and Vector Processing. Pipelining and Vector Processing. Parallel Processing. It refers to techniques that are used to provide simultaneous data processing.. Lecture . 10: . Sublinear. Algorithm. Zhu Han. University of Houston. Thanks for Professor Dan Wang’s slides. 1. outline. Motivations. Inequalities and classifications . Examples. Applications. 2. and Projects. ABDS in Summary XIX: Layer 14B. . Data . Science Curriculum. March 1 2015. Geoffrey Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Theory and Practice with Apache Flink at Uber. QCon.ai, . San Francisco. April, 11th 2018. Fabian . Hueske. Shuyi Chen. What is Apache Flink?. 2. Batch Processing. process static and. historic data. . mit. Event Stream Processing. Thomas . Dücker. , . SAP Schweiz. Juni. , 2013. Agenda. Herausforderung. und Trends. Übersicht. Operational Process Intelligence. Übersicht. Beispiele. Szenario. E. nvironment for . R. eal-time . S. treaming, . A. cquisition and . P. rocessing . FBP based, reactive data-stream processing framework. V. Gyurjyan, G. . Heyes. , D. Lawrence, C. Timmer, N. Brey, C. Cuevas, D. Abbott, B. . Operator State Management. with . Raul Castro Fernandez*. Matteo. . Migliavacca. +. and Peter . Pietzuch. *. *. Imperial College London, . +. Kent . Univerisity. Big data … . … in numbers: . 2.5 billions on gigabytes of data every day .

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