Results 31 to 40 of about 11,273 (224)
Integrating Distributed Hadoop System into the Existing Infrastructure [PDF]
A distributed Hadoop system can integrate clusters of different organizations. The purpose of this article is to consider the options for building an architecture of a distributed Hadoop system, so that it is, on the one hand, to integrate a logically ...
Stefka Petrova +4 more
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Safety Reinforcement Scheme for Hadoop Platform [PDF]
Aiming at the security vulnerability problem of Hadoop platform,this paper analyzes the present security situation of Hadoop platform,puts forward the remaining security hidden trouble,and designs and implements the relevant reinforcement scheme.By ...
DING Xiangwu,ZHANG Donghui
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An Evaluation of Cassandra for Hadoop [PDF]
In the last decade, the increased use and growth of social media, unconventional web technologies, and mobile applications, have all encouraged development of a new breed of database models. NoSQL data stores target the unstructured data, which by nature is dynamic and a key focus area for "Big Data" research.
Elif Dede +4 more
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Design of mobile disposal platform for emergency and joint defense based on Hadoop
In response to urban security issues, in order to achieve credible warning, identify potential emergencies and deal with them in a timely manner, this paper builds an identity recognition emergency joint defense mobile processing platform based on Hadoop,
Zhang Lizhi, Li Xuewen
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Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management [PDF]
High-performance computing platforms such as supercomputers have traditionally been designed to meet the compute demands of scientific applications. Consequently, they have been architected as producers and not consumers of data. The Apache Hadoop ecosystem has evolved to meet the requirements of data processing applications and has addressed many of ...
André Luckow +3 more
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Big Data Architectures and Concepts
Nowadays, the processing of big data has become a major preoccupation for businesses, not only for storage and processing but also for operational requirements such as speed, maintaining performance with scalability, reliability, availability, security ...
Audrey Tembo Welo +3 more
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'Big Data 'describes and technologies to store, distribute, manage and analyze large-sized datasets with high-velocity. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order
null Yash Patel, null Prof. Manish Joshi
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Analisis Data Sosial Media Twitter Menggunakan Hadoop dan Spark
Big data merupakan sumber data yang memiliki volume yang besar, variasi yang banyak, dan aliran data yang sangat cepat. Contoh big data antara lain data dari media sosial dan query pencarian Google. Data tersebut mampu melacak aktivitas penyakit dan data
Irfan Rizqi Prabaswara, Ragil Saputra
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data
We live in an age where everything around us is being created. Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery processes. MapReduce model functionality is used for creating a cluster
Ankit Kumar +3 more
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Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments [PDF]
Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous ...
Avishan Sharafi, Ali Rezaee
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