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Optimization Analysis of Hadoop

2016
Hadoop is a distributed data processing platform supporting MapReduce parallel computing framework. In order to deal with general problems, there is always a need of accelerating Hadoop under certain circumstance such as Hive jobs. By outputting current time to logs at specially selected points, we traced the workflow of a typical MapReduce job ...
Hongzhi Wang, Shengfei Shi, Jinglun Li
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Hadoop Ecosystem Tools

2016
In this chapter, you will learn the basics of some other Hadoop ecosystem tools such as Zookeeper, Cascading, Presto, Tez, and Spark.
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Hadoop MapReduce Performance Optimization Analysis by Calibrating Hadoop Parameters

The Journal of Korean Institute of Information Technology, 2021
Keungyeup Ji, Youngmi Kwon
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Case Study: Hadoop

2018
Hadoop is one of the most popular distributed big data platforms in the world. Besides computing power, its storage subsystem capability is also a key factor in its overall performance. In particular, there are many intermediate file exchanges for MapReduce.
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Professional Hadoop®

2016
Cazen Lee   +5 more
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Using Apache Hadoop

2016
Apache Hadoop is the de facto framework for processing large data sets. Apache Hadoop is a distributed software application that runs across several (up to hundreds and thousands) of nodes across a cluster. Apache Hadoop comprises of two main components: Hadoop Distributed File System (HDFS) and MapReduce.
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Introducing Hadoop Security

2014
We live in a very insecure world. Starting with the key to your home’s front door to those all-important virtual keys, your passwords, everything needs to be secured—and well. In the world of Big Data where humungous amounts of data are processed, transformed, and stored, it’s all the more important to secure your data.
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Hadoop

2018
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Caching for SQL-on-Hadoop

2018
Haoyuan Li, Gene Pang
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