Hadoop 3.0 GPU

Hadoop 3.0 GPU : Hadoop is still behind high performance capacity due to CPUs’ limited parallelism, though. GPU (Graphical Processing Unit) accelerated computing involves the use of a GPU together with a CPU to accelerate applications to data processing on GPU cluster toward higher efficiency. However, GPU cluster has low level data storage capacity

Leveraged Hadoop 3.0 GPU Computing

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Hadoop 3.0 Erasure Coding Explained

This deep dive article on “Hadoop 3.0 Erasure coding explained” will highlight how the erasure coding will help reducing 50% of storage overhead cost. The storage component (HDFS) of Hadoop 3.0 by default replicates each block 3 times (and could be higher based on configuration). Replication facilitates a simple and robust form of redundancy to protect against failure … read the rest

Hadoop 3.0 Docker

Hadoop 3.0 Docker : The docker enables users to bundle an application together with its preferred execution environment. In this article, we will talk about Hadoop and docker together. What are the benefit and single node setup.

Hadoop 3.0 Docker

Hadoop 3.0 Docket : Benefits

  1. Setup, Installs  & Runs Hadoop 3.0 in no time.
  2. Uses the available resources as per need, so no
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