HADOOP Homework Help
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HADOOP Introduction
- An open source system developed using java
- Support very large data sets
- Support large cluster of servers
- Designed to run on preexisting low cost hardware
- Allows for fragmentation of work over cluster
- Allows for fragmentation of storage over cluster
- Provides resilience via automatic failure handling
HADOOP Architecture Explained by HADOOP Assignment Help Experts
HADOOP consists of
HADOOP Common: Common utilities for HADOOP module support
HADOOP MapReduce: Parallel processing of HADOOP data
HADOOP Yam: Scheduler and resource manager
HADOOP Distributed file system (HDFS): A master/ slave file system that spreads the HADOOP data over a very large cluster of slave data nodes controlled by a single name node.
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Projects Covered By HADOOP Assignment Help Experts and More
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HADOOP Related Projects
- Pig – for analyzing large dat sets
- Hive – data warehouse system for HADOOP
- Maout – machine learning and Data Mining
- Avro – a data serialization system
- Chukwa - data collection and analysis
- Hue – HADOOP user interface
- Oozie – work flow scheduler
- Hama - bulk synchronous parallel framework For massive scientific computations
- Nutch – web crawler
- Hbase – Non relational database
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