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MapReduce
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#	Item
191	Distributed Real-Time Stream Processing: Why and How Petr Zapletal @petr_zapletal NE Scala 2016 Add to Reading List Source URL: www.nescala.org Language: English - Date: 2016-04-16 10:39:24 Computing Concurrent computing Parallel computing Distributed computing architecture Big data Data processing Lambda architecture Software architecture Stream processing MapReduce Latency Data
192	An Experience Report on Scaling Tools for Mining Software Repositories Using MapReduce Weiyi Shang, Bram Adams, Ahmed E. Hassan Software Analysis and Intelligence Lab (SAIL) School of Computing, Queen’s University King Add to Reading List Source URL: users.encs.concordia.ca Language: English - Date: 2015-08-14 09:57:49
193	Sorting 100 TB on Google Compute Engine Michael Conley Amin Vahdat George Porter Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2015-09-25 11:22:18 Cloud infrastructure Parallel computing Cloud computing Web services Distributed computing architecture MapReduce Solid-state drive Google Compute Engine Apache Hadoop Data-intensive computing Amazon Elastic Compute Cloud Hyper-V
194	Case Study High Volume Streaming Analytics Building a high speed, high volume streaming analytics solutions with exactly-once Add to Reading List Source URL: customers.cask.co Language: English - Date: 2016-06-05 18:16:42 Computing Information technology Data Business intelligence Big data Cask Hadoop MapReduce Batch processing Analytics
195	MapReduce Tutorial Table of contents 1 Purpose............................................................................................................................... 2 2 Prerequisites............................. Add to Reading List Source URL: hadoop.apache.org Language: English - Date: 2013-08-04 04:13:21
196	Data Sheet Actian DataFlow™ Capture More Data Value Faster from Hadoop Key Benefits Process data natively on Hadoop, Add to Reading List Source URL: wwwcdn2.actian.com Language: English - Date: 2016-04-21 01:22:51 Computing Concurrent computing Data Cloud infrastructure Apache Software Foundation Parallel computing Data management Business intelligence Apache Hadoop Predictive analytics Big data MapReduce
197	Nephele: Efficient Parallel Data Processing in the Cloud Daniel Warneke Odej Kao Technische Universität Berlin Add to Reading List Source URL: stratosphere.eu Language: English - Date: 2016-05-27 12:05:58 Cloud infrastructure Parallel computing Apache Hadoop MapReduce Data-intensive computing Amazon Elastic Compute Cloud Job scheduler Scheduling Directed acyclic graph Cloud computing Eucalyptus Job
198	HiMach A Parallel Framework for Analyzing Molecular Dynamics Trajectories HiMach Version 1.0/Document Version 0.1 June 2009 Add to Reading List Source URL: www.deshawresearch.com Language: English Parallel computing MapReduce Data-intensive computing Apache Hadoop Molecular dynamics Map Parallelization contract Aster Data Systems
199	SPARK 1 Pourquoi tant d’engouement ? • Parce-que c’est mieux que MapReduce Add to Reading List Source URL: reseau-loops.github.io Language: French - Date: 2016-06-07 12:47:20
200	Case Study Information Security Reporting In a large enterprise environment there are traditional information sources that house a great Add to Reading List Source URL: customers.cask.co Language: English - Date: 2016-06-05 22:22:40 Computing Hadoop Apache Hadoop Cask Sqoop Apache Spark MapReduce MapR Apache Hive Data-intensive computing

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