Results 101 to 110 of about 11,273 (224)
Nagy adathalmazok feldolgozása Hadoop rendszer segítségével
, 2016 A folyamatos fejlődésnek köszönhetően napjainkban egyre gyorsabb ütemben egyre több információ halmozódik fel. Olyan nagyméretű adathalmazok jönnek létre, melyek tárolása és elemzése erőforrás igényük miatt csak több összekapcsolt számítógép együttes ...
Kántor, István
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Consensus σ70 promoter prediction using hadoop
, 2013 MapReduce frameworks such as Hadoop are well suited to handling large sets of data which can be processed separately and independently, with canonical applications in information retrieval and sales record analysis.
James M. Hogan +5 more
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Big data: modern approaches to storage and analysis
Труды Института системного программирования РАН, 2018 Big data challenged traditional storage and analysis systems in several new ways. In this paper we try to figure out how to overcome this challenges, why it's not possible to make it efficiently and describe three modern approaches to big data handling ...
Pavel Klemenkov, Sergey Kuznetsov
doaj +1 more source
Hadoop Tutorials - Hadoop Foundations
, 2016 The Hadoop ecosystem is the leading opensource platform for distributed storage and processing of "big data". The Hadoop platform is available at CERN as a central service provided by the IT department.
Baranowski, Zbigniew +1 more
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, 2013 This book is a step-by-step tutorial filled with practical examples which will focus mainly on the key security tools and implementation techniques of Hadoop security.This book is great for Hadoop practitioners (solution architects, Hadoop administrators,
Narayanan, Sudheesh
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Adaptive Preshuffling in Hadoop Clusters
, 2013 MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop–an open-source imple- mentation of MapReduce is widely used for short jobs requiring low response time ...
Tian, Yun +5 more
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, 2014 Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems?
Karanth, Sandeep
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Shared-scan and locality-aware scheduling algorithm in Hadoop architecture
, 2015 碩士在Hadoop分散式運算架構底下，根據系統所使用排程策略的不同，將會直接影響到整體的系統效能。Hadoop架構中系統所預設的排程策略為先進先出(FIFO)，但先進先出排程策略並沒有考慮到不同任務間可能會需要相同的檔案，或是檔案過大時使用網路傳輸檔案導致系統效能降低的影響。本研究提出了FSSL排程策略，以先進先出排程策略為基礎，再加上考慮需求共享與區域感知的因素並在演算法中加入所需要的調整參數，並以此演算法制定新的排程策略進行任務排程以減少網路的負載。實驗結果顯示 ...
許哲瑋; Hsu, Che-Wei
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, 2013 The go-to guidebook for deploying Big Data solutions with Hadoop Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions.
Smith, Kevin T. +2 more
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, 2016 ROBOTICSThe objective of this tutorial is to give an overview of Hadoop, its possibilities and itsuse in Robotics, as well as to provide explanations about the setup, design of mapreducejobs and troubleshooting.
Deiss, Olivier, Pradalier, Cedric
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