Apache Hadoop
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Enterprise Java
MapReduce Algorithms – Understanding Data Joins Part 1
In this post we continue with our series of implementing the algorithms found in the Data-Intensive Text Processing with MapReduce…
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Enterprise Java
Distributed System Development Considerations
There are a number of factors to take into account while developing distributed software systems. If you donât even know…
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Enterprise Java
Setting up Apache Hadoop Multi – Node Cluster
We are sharing our experience about Apache Hadoop Installation in Linux based machines (Multi-node). Here we will also share our…
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Enterprise Java
Running Map-Reduce Job in Apache Hadoop (Multinode Cluster)
We will describe here the process to run MapReduce Job in Apache Hadoop in multinode cluster. To set up Apache…
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Enterprise Java
Hadoop setup on single node and multi node
We will describe Hadoop setup on single node and multi node. The Hadoop environment setup and configuration will be described…
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Enterprise Java
How Hadoop Works? HDFS case study
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters…
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Enterprise Java
Ganglia configuration for a small Hadoop cluster and some troubleshooting
Ganglia is an open-source, scalable and distributed monitoring system for large clusters. It collects, aggregates and provides time-series views of…
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Enterprise Java
Hadoop Books Giveaway – Roundup
Fellow geeks, Our giveaway of Packt Publishingâs books on Apache Hadoop has ended. You may find the original post for…
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Enterprise Java
Spring meets Apache Hadoop
SpringSource has just announced the first GA release of Spring for Apache Hadoop. The goal of this project is to…
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