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#	Item
151	MARLA: MapReduce for Heterogeneous Clusters Zacharia Fadika 1 , Elif Dede 2 , Jessica Hartog 3 , Madhusudhan Govindaraju 4 Computer Science Department, Binghamton University P.O. Box 6000, Binghamton, NY, USA Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2013-07-27 18:05:55 Computing Concurrent computing Parallel computing Cloud infrastructure Apache Software Foundation Hadoop Data-intensive computing Apache Hadoop MapReduce Computer cluster IBM General Parallel File System Big data
152	Query Optimization for Massively Parallel Data Processing Sai Wu #1 , Feng Li #2 , Sharad Mehrotra §3 , Beng Chin Ooi #4 # School of Computing, National University of Singapore, Singapore, ,2,4 Add to Reading List Source URL: www.yzbigdata.com Language: English - Date: 2016-08-08 22:31:48 Computing Software Concurrent computing Parallel computing Database management systems SQL Apache Software Foundation Hadoop MapReduce Query optimization Data-intensive computing Query plan
153	Modular Composition of Coordination Services Kfir Lev-Ari1 , Edward Bortnikov2 , Idit Keidar1,2 , and Alexander Shraer3 1 Viterbi Department of Electrical Engineering, Technion, Haifa, Israel 2 Yahoo Research, Haifa, Isr Add to Reading List Source URL: webee.technion.ac.il Language: English - Date: 2016-05-26 07:36:38 Computing Inter-process communication Apache ZooKeeper Configuration management Hadoop Concurrency Cache Service Clientserver model Synchronization Computer engineering
154	Multi-pass Sorted Neighborhood Blocking with MapReduce Lars Kolb University of Leipzig Database Group Andreas Thor Add to Reading List Source URL: dbs.uni-leipzig.de Language: English - Date: 2011-05-16 15:04:14 Computing Concurrent computing Parallel computing Distributed computing architecture MapReduce Data-intensive computing Data Apache Hadoop Record linkage Partition Sorting algorithm Parallelization contract
155	Hadoop Deployment Workshop An increasing number of organizations are seeking ways to profit from Big Data, and Hadoop is increasingly serving as the most capable conduit to unlock its inherent value. When adopting Hadoop Add to Reading List Source URL: bigindustries.be Language: English - Date: 2015-09-07 09:11:04 Computing Cloud computing Free software Cloud infrastructure Hadoop Apache Software Foundation Apache Hadoop Data management Big data Cloudera
156	T h e H a d o o p Di s t r i b u t e d Fi l e S y s K o n s t a n t i n V. S h v a c h k o HDFS scalability: the limits to growth Konstantin V. Shvachko is a principal software engineer at Yahoo!, where he develops HDFS Add to Reading List Source URL: static.usenix.org Language: English - Date: 2010-04-01 13:48:57 Computing Software System software Network file systems Distributed data storage Apache Hadoop Apache Software Foundation Cloud infrastructure Parallel computing IBM General Parallel File System B-tree Lustre
157	Apache Flink™: Stream and Batch Processing in a Single Engine Paris Carbone† Asterios Katsifodimos* † KTH & SICS Sweden Add to Reading List Source URL: www.user.tu-berlin.de Language: English - Date: 2016-07-21 07:25:50 Computing Java platform Apache Software Foundation Parallel computing Distributed computing architecture Hadoop Apache Flink Apache Beam Apache Spark Storm Stream processing Stream
158	Hadoop Forensics Be in a defensible position. Be cyber resilient. June 2016 Add to Reading List Source URL: files.sans.org Language: English - Date: 2016-07-11 10:53:34 Business Economy Madoff investment scandal KPMG Apache Hadoop Ernst & Young Limited liability partnership Big Four accounting firms
159	Testing and Diagnostics Table of contents 1 Diagnostic Operators..........................................................................................................2 2 Pig Scripts and MapReduce Job IDs (MapReduce m Add to Reading List Source URL: pig.apache.org Language: English - Date: 2015-06-06 13:03:20 Computing Software engineering Apache Software Foundation Cloud computing Hadoop Parallel computing Pig Apache Hadoop Foreach loop MapReduce
160	Trash Day: Coordinating Garbage Collection in Distributed Systems Martin Maas? † ∗ Tim Harris† Krste Asanovi´c? John Kubiatowicz? † Oracle Labs, Cambridge Add to Reading List Source URL: www.usenix.org Language: English - Date: 2016-02-21 01:58:31 Computing Apache Software Foundation Cloud infrastructure NoSQL Parallel computing Structured storage Apache Cassandra Garbage collection Apache Spark Apache Hadoop Computer cluster Distributed computing

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