About: MapReduce: Simplified Data Processing on Large Clusters

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article by Jeff Dean & Sanjay Ghemawat published 1 January 2008 in Communications of the ACM

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique (fr) наукова стаття, опублікована в січні 2008 (uk) im Januar 2008 veröffentlichter wissenschaftlicher Artikel (de) article by Jeff Dean & Sanjay Ghemawat published 1 January 2008 in Communications of the ACM (en)
publication date	wds:Q59795724-21A2EF71-0CF8-4748-93E9-34B97861BE4E
publication date	2008-01-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q59795724-A48E686A-CBF9-48A5-8964-6AF860FB83B1
language of work or name	English
rdfs:label	MapReduce: Simplified Data Processing on Large Clusters (en) MapReduce: Simplified Data Processing on Large Clusters (fr) MapReduce: Simplified Data Processing on Large Clusters (nl)
skos:prefLabel	MapReduce: Simplified Data Processing on Large Clusters (en) MapReduce: Simplified Data Processing on Large Clusters (fr) MapReduce: Simplified Data Processing on Large Clusters (nl)
name	MapReduce: Simplified Data Processing on Large Clusters (en) MapReduce: Simplified Data Processing on Large Clusters (fr) MapReduce: Simplified Data Processing on Large Clusters (nl)
author	wds:Q59795724-071BA438-4351-447F-9B53-AA42DF6E0054 wds:Q59795724-22636F83-1613-4BEE-87E6-31BBAA4966D2
author	Sanjay Ghemawat Jeff Dean
title	wds:Q59795724-C3771D1B-9AEA-4385-8D06-F9AE38F09983
title	MapReduce: Simplified Data Processing on Large Clusters (en)
page(s)	wds:Q59795724-21B6E776-BC5D-4310-B24B-BCD2769DD119
page(s)	107
instance of	wds:Q59795724-2040A95A-CD5B-4873-9F7E-DA5A3F0682C9
instance of	scholarly article
main subject	wds:Q59795724-F0D53C47-61FB-47FE-9604-596BF094869D wds:Q59795724-a91f92ff-4d4e-6ef2-8724-385972b25681
main subject	MapReduce data processing
DBLP publication ID	wds:Q59795724-03FD4DC5-DB52-4B3A-9782-5713AADC9C19
DBLP publication ID	https://dblp.org/rec/journals/cacm/DeanG08
DBLP publication ID	journals/cacm/DeanG08
published in	wds:Q59795724-418B91E1-7A1B-43B5-A3FA-0BCC43773E69
full work available at URL	wds:Q59795724-53217ebc-4813-b25e-49f2-16192a96dee3
published in	Communications of the ACM
full work available at URL	https://research.google/pubs/pub62.pdf
issue	wds:Q59795724-87BC471A-B43B-4930-A3B4-F40D136BE26D
volume	wds:Q59795724-0F4ED060-9676-4D1B-BAB2-4A711AF8BD95
issue	1
volume	51
DOI	wds:Q59795724-F742013C-DFAF-4ABC-9A62-97773BA12154
DOI	http://dx.doi.org/10.1145/1327452.1327492
DOI	10.1145/1327452.1327492
skos:altLabel	MapReduce (en) MapReduce (fr) MapReduce (nl)
ResearchGate publication ID	wds:Q59795724-12360251-2B7C-4317-8232-21C9DFE4954A
ResearchGate publication ID	220851866
ORKG ID	wds:Q59795724-cff7b899-2a29-44d2-9f5d-4280964574a4
ORKG ID	R75435
is owl:sameAs of	MapReduce: Simplified Data Processing on Large Clusters
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q59795724
is cites work of	Global disease monitoring and forecasting with Wikipedia Unraveling the Complexities of Life Sciences Data A preliminary review of influential works in data-driven discovery Big Data Analytics in Healthcare Mapping brain activity at scale with cluster computing Translational biomedical informatics in the cloud: present and future Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways Analyzing neural data at huge scale GillesPy: A Python Package for Stochastic Model Building and Simulation Single-cell Transcriptome Study as Big Data Next-generation genotype imputation service and methods Distributed computing practice for large-scale science and engineering applications SCENIC: single-cell regulatory network inference and clustering. Process Mining in the Large: A Tutorial Concurrency bugs in open source software: a case study Web technologies for environmental Big Data SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies Cloud computing for genomic data analysis and collaboration. Regional‐Scale Detection of Fault Scarps and Other Tectonic Landforms: Examples From Northern California Challenges, Solutions, and Quality Metrics of Personal Genome Assembly in Advancing Precision Medicine Analyzing Big Data in Psychology: A Split/Analyze/Meta-Analyze Approach Large-scale virtual screening on public cloud resources with Apache Spark EasyPDP: An Efficient Parallel Dynamic Programming Runtime System for Computational Biology An Introduction to Big Data, High Performance Computing, High-Throughput Computing, and Hadoop MapReduce Based Scalable Range Query Architecture for Big Spatial Data Application of Machine Learning for Multicenter Learning LiberTEM: Software platform for scalable multidimensional data processing in transmission electron microscopy Efficient iterative virtual screening with Apache Spark and conformal prediction. CLORIFI: software vulnerability discovery using code clone verification A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting BSP cost and scalability analysis for MapReduce operations Constructing Virtual Private Supercomputer Using Virtualization and Cloud Technologies Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis DDS: integrating data analytics transformations in task-based workflows A performance/cost model for a CUDA drug discovery application on physical and public cloud infrastructures Applications in Data-Intensive Computing The stapl Skeleton Framework Parallel Algorithms for Multirelational Data Mining: Application to Life Science Problems The Performance Evaluation of the Java Implementation of Graph500 Reconstruction of Grains in Polycrystalline Materials From Incomplete Data Using Laguerre Tessellations Genotype Imputation in Genome-Wide Association Studies gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation Discovery of Frequent Episodes in Event Logs

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