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Hadoop Installation On Linux | Hadoop Tutorial For Beginners | Hadoop Training | Simplilearn Video Lecture | Taming the Big Data with HAdoop and MapReduce - Software Development
FAQs on Hadoop Installation On Linux - Hadoop Tutorial For Beginners - Hadoop Training - Simplilearn Video Lecture - Taming the Big Data with HAdoop and MapReduce - Software Development
| 1. What is Hadoop and why is it important for Linux users? |  |
Ans. Hadoop is an open-source framework that allows distributed processing of large datasets across a cluster of computers. It is important for Linux users because it provides a scalable and reliable solution for handling big data processing and analytics. Hadoop's distributed nature makes it suitable for Linux environments, which are known for their stability, security, and performance.
| 2. How can I install Hadoop on Linux? | |
Ans. To install Hadoop on Linux, you can follow these steps:
1. Download the Hadoop distribution package from the Apache Hadoop website.
2. Extract the downloaded package to a directory on your Linux system.
3. Configure the Hadoop environment variables in the .bashrc or .bash_profile file.
4. Configure the Hadoop cluster settings in the core-site.xml and hdfs-site.xml files.
5. Start the Hadoop daemons using the start-all.sh script.
6. Verify the Hadoop installation by running a sample MapReduce job.
| 3. Can I run Hadoop on a single Linux machine? | |
Ans. Yes, you can run Hadoop on a single Linux machine for development and testing purposes. This configuration is called a pseudo-distributed mode, where each Hadoop daemon runs in a separate Java process. However, it is important to note that the true power of Hadoop lies in its ability to process large datasets across a cluster of machines.
| 4. What are the key components of Hadoop? | |
Ans. The key components of Hadoop include:
1. Hadoop Distributed File System (HDFS): A distributed file system that provides high-throughput access to application data.
2. Yet Another Resource Negotiator (YARN): A cluster management technology that allows multiple data processing engines to run on the same Hadoop cluster.
3. MapReduce: A programming model and software framework for writing applications that process large amounts of data in parallel.
4. Hadoop Common: A set of utilities and libraries that support the other Hadoop modules.
5. Hadoop Eco-system: Additional tools and frameworks built on top of Hadoop, such as Hive, Pig, and Spark.
| 5. Is Hadoop only used for big data processing? | |
Ans. While Hadoop is best known for its ability to handle big data processing, it can also be used for other purposes. Hadoop's distributed file system (HDFS) and cluster management capabilities (YARN) make it suitable for various data-intensive tasks, such as data storage, data analysis, and batch processing. Additionally, the Hadoop ecosystem offers a range of tools and frameworks that extend its capabilities beyond big data processing, allowing users to perform real-time streaming, machine learning, and graph processing tasks.
Text Transcript from Video
hello and welcome to lesson number five
of Hadoop training by simply learn in
this lesson we are going to explain
about how to install Hadoop on your
computer but before that let's have a
recap of what we learnt in the previous
four lessons in this course lesson 1
dealt with the introduction of Hadoop in
lesson two we discussed Hadoop
architecture and in lesson three we
learnt a few Unix commands after which
we discussed cygwin commands in Hadoop
in lesson 4 before we begin with Hadoop
installation let us first look into the
agenda of this lesson in this lesson
we'll discuss about prerequisite for
Hadoop how to download Hadoop how to
install the dupe how to setup Hadoop and
finally how to run Hadoop let us first
begin with the prerequisites Hadoop
needs to run in UNIX or Linux
environment as said earlier we will use
cygwin to run unix commands in Windows
and have already showed the installation
process of cygwin in addition to cygwin
installation we need to do the following
prerequisite setup first installation of
jdk 1.6 or above second java environment
setup third add additional cygwin
libraries and finally set up a path
system variable let's look into the
first set up that is installation of JDK
one in the next slide the best way to
get Hadoop is download jdk from the
internet for example jdk 7 can be
downloaded from the URL as visible in
the slide if you go into this website
you will see a screen with a title as
given in the slide for java SE
development kit 7 u17 that will
you to accept license agreement which
you should let's proceed with the
installation procedure in the next slide
click on OK to accept the terms and
select your jdk version as per your
machines configuration save the jdk
executable file on your machine after
the download is complete execute the
file you'll be prompted with the screen
that will guide you through the
installation process click on the next
button on this and also do the same on
the subsequent screen we will continue
this in the next slide
of Hadoop training by simply learn in
this lesson we are going to explain
about how to install Hadoop on your
computer but before that let's have a
recap of what we learnt in the previous
four lessons in this course lesson 1
dealt with the introduction of Hadoop in
lesson two we discussed Hadoop
architecture and in lesson three we
learnt a few Unix commands after which
we discussed cygwin commands in Hadoop
in lesson 4 before we begin with Hadoop
installation let us first look into the
agenda of this lesson in this lesson
we'll discuss about prerequisite for
Hadoop how to download Hadoop how to
install the dupe how to setup Hadoop and
finally how to run Hadoop let us first
begin with the prerequisites Hadoop
needs to run in UNIX or Linux
environment as said earlier we will use
cygwin to run unix commands in Windows
and have already showed the installation
process of cygwin in addition to cygwin
installation we need to do the following
prerequisite setup first installation of
jdk 1.6 or above second java environment
setup third add additional cygwin
libraries and finally set up a path
system variable let's look into the
first set up that is installation of JDK
one in the next slide the best way to
get Hadoop is download jdk from the
internet for example jdk 7 can be
downloaded from the URL as visible in
the slide if you go into this website
you will see a screen with a title as
given in the slide for java SE
development kit 7 u17 that will
you to accept license agreement which
you should let's proceed with the
installation procedure in the next slide
click on OK to accept the terms and
select your jdk version as per your
machines configuration save the jdk
executable file on your machine after
the download is complete execute the
file you'll be prompted with the screen
that will guide you through the
installation process click on the next
button on this and also do the same on
the subsequent screen we will continue
this in the next slide
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Dec 22, 2024 Last updated |
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