Apache Software Foundation

Results: 673



#Item
21Llama: Leveraging Columnar Storage for Scalable Join Processing in the MapReduce Framework Yuting Lin National University of Singapore

Llama: Leveraging Columnar Storage for Scalable Join Processing in the MapReduce Framework Yuting Lin National University of Singapore

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2011-04-04 10:38:50
22Large-scale Data Mining MapReduce and Beyond Part 3: Applications Spiros Papadimitriou, IBM Research Jimeng Sun, IBM Research Rong Yan, Facebook

Large-scale Data Mining MapReduce and Beyond Part 3: Applications Spiros Papadimitriou, IBM Research Jimeng Sun, IBM Research Rong Yan, Facebook

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Source URL: cs.kangwon.ac.kr

Language: English - Date: 2016-06-02 06:02:18
23Data science for the datacenter: processing logs with Apache Spark William Benton Red Hat Emerging Technology

Data science for the datacenter: processing logs with Apache Spark William Benton Red Hat Emerging Technology

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Source URL: chapeau.freevariable.com

Language: English - Date: 2016-06-06 00:33:38
24Extending Map-Reduce for Efficient ! Predicate-Based Sampling! ! Raman Grover, Michael Carey! Department of Computer Science, University of California, Irvine!

Extending Map-Reduce for Efficient ! Predicate-Based Sampling! ! Raman Grover, Michael Carey! Department of Computer Science, University of California, Irvine!

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Source URL: asterixdb.ics.uci.edu

Language: English - Date: 2013-06-06 15:43:58
25Big Data Analytics with RapidMiner Radoop  Big Data Analytics with RapidMiner Course Overview Big data is worthless without the capability to analyze and visualize. Big Data Analytics with RapidMiner Radoop is

Big Data Analytics with RapidMiner Radoop Big Data Analytics with RapidMiner Course Overview Big data is worthless without the capability to analyze and visualize. Big Data Analytics with RapidMiner Radoop is

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Source URL: 1xltkxylmzx3z8gd647akcdvov-wpengine.netdna-ssl.com

Language: English - Date: 2016-07-08 15:11:45
26INSYS GROUP CASE STUDY: Telco Hadoop Integration  Introduction Telecommunication providers process millions of phone calls per second, as well as provide services for web browsing, videos, television, streaming music and

INSYS GROUP CASE STUDY: Telco Hadoop Integration Introduction Telecommunication providers process millions of phone calls per second, as well as provide services for web browsing, videos, television, streaming music and

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Source URL: www.insys.com

Language: English - Date: 2016-04-19 12:49:39
27Cask Data Application Platform (CDAP) Extensions CDAP Extensions provide additional capabilities and user interfaces to CDAP. They are use-case specific applications designed to solve common and critical big data challe

Cask Data Application Platform (CDAP) Extensions CDAP Extensions provide additional capabilities and user interfaces to CDAP. They are use-case specific applications designed to solve common and critical big data challe

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Source URL: customers.cask.co

Language: English - Date: 2016-08-02 06:10:32
28A Processing Pipeline for Cassandra Datasets Based on Hadoop Streaming E. Dede, B. Sendir, P. Kuzlu, J. Weachock, M. Govindaraju L. Ramakrishnan

A Processing Pipeline for Cassandra Datasets Based on Hadoop Streaming E. Dede, B. Sendir, P. Kuzlu, J. Weachock, M. Govindaraju L. Ramakrishnan

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Source URL: www.cs.binghamton.edu

Language: English - Date: 2014-05-30 15:08:00
29The Performance Cost of Virtual Machines on Big Data Problems in Compute Clusters Neal Barcelo Nick Legg

The Performance Cost of Virtual Machines on Big Data Problems in Compute Clusters Neal Barcelo Nick Legg

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Source URL: personal.denison.edu

Language: English - Date: 2015-11-10 08:26:34
30    StreamSets Data CollectorRelease Notes August 4, 2016

    StreamSets Data CollectorRelease Notes August 4, 2016

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Source URL: streamsets.com

Language: English - Date: 2016-08-04 21:52:48