Hadoop online training overviewPresentation Transcript
An Overview of Hadoop
Hadoop is a open-source tool which can be used
effectively in processing huge volumes of data sets. It
works in a distributed computing scenario. Hadoop is
one of the best solution for addressing the issue of big
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What is Hadoop.
Why do we need Hadoop.
How Hadoop works.
What is Map – Reduce.
Topology of a Hadoop Cluster.
Distinction of Hadoop Framework .
Prerequisites to learn hadoop.
What is Hadoop
Hadoop is an open Sourse Framework.
Developed by Apache Software Foundation.
Used for distributed processing of large date sets.
It works across clusters of computers using a simple
programming model (Map-Reduce).
Why do we need Hadoop
Data is growing faster.
Need to process multi petabytes of data.
The performance of traditional applications is
The number of machines in a cluster is not constant.
Failure is expected, rather than exceptional.
How Hadoop Works
The Hadoop core consists of two modules :
Hadoop Distributed File System (HDFS) [Storage].
Map Reduce [Processing].
What is Map – Reduce
Map Reduce plays a key role in hadoop framework.
Map Reduce is a Programming model for writing
applications that rapidly process large amount of data.
Mapper – is a function that processes input data to
generate intermediate output data.
Reducer – Merges all intermediate data from all
mappers and generate final output data.
A Hadoop Cluster consist of multiple machines Which
can be classified into 3 types
Below are the daemons (Processes) Which runs in a
Name node (Runs on a master machine)
Job Tracker (Runs on a master machine)
Data node (Runs on slave machines)
Task Tracker (Runs on slave machines)
Topology of a Hadoop Cluster
Simple – Hadoop allows users to quickly write efficient
Reliable – Because Hadoop runs on commodity
hardware, it can face frequent automatically handle
Scalable – we can increase or decrease the number of
nodes (machine) in hadoop cluster.
Linux bases operating system (Mac
OS, Redhat, ubuntu)
Java 1.6 or higher version
Disk space ( To hold HDFS data and it’s replications )
Ram (Recommended 2GB)
A cluster of computers.
You can even install Hadoop on single machine.
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