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mahout 0.5 基于 hadoop 的 CF 代码分析

mahout的taste框架是协同过滤算法的实现。它支持DataModel,如文件、数据库、NoSQL存储等,也支持hadoop的MapReduce。这里主要分析mahout0.5中的基于MR的实现。

Authored by Last updated on 01/24/2019 - 16:00
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Hadoop RPC机制+源码分析

 一、RPC基本原理

Authored by Last updated on 07/03/2019 - 20:08
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Getting Started with Tachyon by Use Cases

In-memory computing has become an irreversible trend in big data technology, for which the wide popularity of Spark provides a good evidence. Meanwhile, memory storage and management for large data sets are still posing challenges. Out of numerous solutions, Tachyon, a memory-centric distributed storage, well solves the problems faced by many application scenarios. For example, it avoids severe...
Authored by Last updated on 06/07/2019 - 16:01
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按照使用案例开始使用 Tachyon

In-memory computing has become an irreversible trend in big data technology, for which the wide popularity of Spark provides a good evidence. Meanwhile, memory storage and management for large data sets are still posing challenges. Out of numerous solutions, Tachyon, a memory-centric distributed storage, well solves the problems faced by many application scenarios. For example, it avoids severe...
Authored by Last updated on 06/07/2019 - 16:00
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OpenStack App Developer Survey

As part of a long-term commitment to enhance ease-of-use, the OpenStack UX project, with support of the OpenStack Foundation and the Technical Committee, is now bu

Authored by Mike P. (Intel) Last updated on 06/07/2017 - 12:14
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BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Authored by Sunny G. (Intel) Last updated on 03/11/2019 - 13:17
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BigDL – Apache Spark* 集群上的横向扩展深度学习

要点综述
Authored by Sunny G. (Intel) Last updated on 03/11/2019 - 13:17
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Face It - Week 2 Update

Face It

Authored by Pallab P. Last updated on 02/01/2018 - 15:33
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Performance and Agility with Big Data in a Containerized Environment

Big data analytics solution developers no longer need to choose between performance and agility.
Authored by Michael G. (Intel) Last updated on 08/01/2019 - 10:32
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在容器化环境中提升大数据的性能与灵活性

Authored by Michael G. (Intel) Last updated on 07/04/2019 - 11:02