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Apache Hadoop

Known as: HDFS, Hadoop YARN, Hadoop Distributed Filesystem 
Apache Hadoop (pronunciation: /həˈduːp/) is an open-source software framework for distributed storage and distributed processing of very large data… Expand
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Amazon Elastic Compute Cloud (EC2)Apache FlumeApache GiraphApache Gora
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Apache Hadoop Goes Realtime at Facebook
Facebook recently deployed Facebook Messages, its first ever user-facing application built on the Apache Hadoop platform. Apache… Expand
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Highly Cited
2014
Highly Cited
2014
Big Data Analysis Using Apache Hadoop
We live in on-demand, on-command Digital universe with data prolifering by Institutions, Individuals and Machines at a very high… Expand
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Highly Cited
2013
Highly Cited
2013
Apache Hadoop YARN: yet another resource negotiator
The initial design of Apache Hadoop [1] was tightly focused on running massive, MapReduce jobs to process a web crawl. For… Expand
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Highly Cited
2012
Highly Cited
2012
Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud
While high-level data parallel frameworks, like MapReduce, simplify the design and implementation of large-scale data processing… Expand
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Highly Cited
2011
Highly Cited
2011
Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
We present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop… Expand
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Highly Cited
2011
Highly Cited
2011
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this… Expand
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Highly Cited
2010
Highly Cited
2010
Spark: Cluster Computing with Working Sets
MapReduce and its variants have been highly successful in implementing large-scale data-intensive applications on commodity… Expand
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Highly Cited
2010
Highly Cited
2010
Benchmarking cloud serving systems with YCSB
While the use of MapReduce systems (such as Hadoop) for large scale data analysis has been widely recognized and studied, we have… Expand
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Highly Cited
2010
Highly Cited
2010
Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a… Expand
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Highly Cited
2009
Highly Cited
2009
Hadoop: The Definitive Guide
Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop… Expand
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