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Apache Hadoop
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141	Parallel and Distributed Approach for Processing Large-Scale XML Datasets Zacharia Fadika 1 , Michael R. Head 2 , Madhusudhan Govindaraju 3 Computer Science Department, Binghamton University P.O. Box 6000, Binghamton, NY Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2009-11-29 14:25:42 Parallel computing Data-intensive computing MapReduce Speedup Apache Hadoop VTD-XML Computer cluster Scalability Concurrent data structure Multi-core processor Automatic parallelization tool Java API for XML Processing
142	Whitepaper_Solution-Icon_Orange_Artwork Add to Reading List Source URL: www.opticca.com Language: English Cross-platform software Transaction processing Data management Software architecture Computing platforms Big memory Application server Standard Performance Evaluation Corporation Apache Hadoop Java Server Garbage collection
143	Leveraging Parallel Data Processing Frameworks with Verified Lifting Maaz Bin Safeer Ahmad Alvin Cheung Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2016-07-02 20:30:42 Formal methods MapReduce Loop invariant Postcondition Apache Hadoop Control flow Hoare logic Generator Predicate transformer semantics KeY Infinite loop Const
144	Data Management Integrate Data and Gain Insights with RedPoint Data Management™ In today’s digital age, there are more sources of data that can help you understand and improve business processes than ever Add to Reading List Source URL: www.redpoint.net Language: English - Date: 2016-03-03 11:48:09 Data management Customer experience management Internet marketing RedPoint Global Apache Hadoop Big data Oracle Database Database Data quality
145	ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters ? Jia-Chun Lin, Ingrid Chieh Yu, Einar Broch Johnsen, Ming-Chang Lee Add to Reading List Source URL: einarj.at.ifi.uio.no Language: English - Date: 2016-03-16 12:32:30 C++ Standard Library Cloud infrastructure Operations research Parallel computing Apache Hadoop Apache Software Foundation Job scheduler Computer cluster Intermodal container Scheduling Monitor Sequence container
146	Real-time Sensor Data Streams Silvia Nittel Spatial Informatics, School of Computing and Information Science, University of Maine, USA Abstract Today’s observation streams of large numbers of geographically distributed Add to Reading List Source URL: silvianittel.files.wordpress.com Language: English - Date: 2016-07-10 14:39:27 Data management Sensors Business intelligence Wireless networking Wireless sensor network Geographic information system Sensor web Big data Oracle Spatial and Graph Data stream management system Sensor node Apache Hadoop
147	Welcome to OLAP on Hadoop: The cube meets the elephant Analyst: Krishna Roy 16 Jul, 2015 OLAP cubes first rose to prominence in the 1990s, so they can be seen as one of the first pervasive forms of analytical visualizati Add to Reading List Source URL: thinkbiganalytics.com Language: English - Date: 2015-12-16 16:28:19 Online analytical processing Business intelligence Cloud infrastructure Data management Hadoop Apache Hadoop Pentaho Datameer Apache Kylin Teradata MOLAP Platfora
148	ParaTimer: A Progress Indicator for MapReduce DAGs Kristi Morton, Magdalena Balazinska, and Dan Grossman Computer Science and Engineering Department, University of Washington Seattle, Washington, USA Add to Reading List Source URL: event.cwi.nl Language: English - Date: 2010-08-10 12:02:01 Parallel computing Apache Software Foundation Distributed computing architecture Hadoop MapReduce Cloud computing Apache Hadoop Pig Task Query optimization Data-intensive computing Aster Data Systems
149	Flat Datacenter Storage Edmund B. Nightingale, Jeremy Elson, Jinliang Fan, Owen Hofmann∗, Jon Howell, and Yutaka Suzue Microsoft Research University of Texas at Austin∗ Add to Reading List Source URL: nil.csail.mit.edu Language: English - Date: 2015-01-05 06:37:33 Fault-tolerant computer systems Data management RAID Computing Data synchronization Replication Computer data storage Storage area network Backup File system Google File System Apache Hadoop
150	Cask Data Application Platform (CDAP) CDAP is an open source, Apache 2.0 licensed, distributed, application framework for delivering Hadoop solutions. It integrates and abstracts the underlying Hadoop technologies to pr Add to Reading List Source URL: customers.cask.co Language: English - Date: 2016-07-31 17:55:06 Hadoop Cloud infrastructure Apache Software Foundation Cask Apache Hadoop Apache HBase MapReduce Big data Cloudera Hortonworks Apache Spark Microsoft Azure

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