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You're reading from  Learning Hunk

Product typeBook
Published inDec 2015
Reading LevelIntermediate
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ISBN-139781782174820
Edition1st Edition
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Authors (2):
Dmitry Anoshin
Dmitry Anoshin
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Dmitry Anoshin

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.
Read more about Dmitry Anoshin

Sergey Sheypak
Sergey Sheypak
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Sergey Sheypak

Sergey Sheypak started his so-called big data practice in 2010 as a Teradata PS consultant. His was leading the Teradata Master Data Management deployment in Sberbank, Russia (which has 110 billion customers). Later Sergey switched to AsterData and Hadoop practices. Sergey joined the Research and Development team at MegaFon (one of the top three telecom companies in Russia with 70 billion customers) in 2012. While leading the Hadoop team at MegaFon, Sergey built ETL processes from existing Oracle DWH to HDFS. Automated end-to-end tests and acceptance tests were introduced as a mandatory part of the Hadoop development process. Scoring geospatial analysis systems based on specific telecom data were developed and launched. Now, Sergey works as independent consultant in Sweden.
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Setting up Hunk


In order to start exploring Hadoop data, we have to install Hunk on top of our Hadoop Cluster. Hunk is easy to install and configure. Let's learn how to deploy Hunk version 6.2.1 on top of an existing CDH cluster. It's assumed that your VM is up and running.

Extracting Hunk to a VM

  1. Open the console application.

  2. Run ls -la to see the list of files in your home directory:

    [cloudera@quickstart ~]$ cd ~
    [cloudera@quickstart ~]$ ls -la | grep hunk
    -rw-r--r--   1 root     root     113913609 Mar 23 04:09 hunk-6.2.1-249325-Linux-x86_64.tgz
    
  3. Unpack the archive:

    cd /opt
    sudo tar xvzf /home/cloudera/hunk-6.2.1-249325-Linux-x86_64.tgz -C /opt
    

Setting up Hunk variables and configuration files

  1. It's time to set the SPLUNK_HOME environment variable. This variable has already been added to the profile:

    export SPLUNK_HOME=/opt/hunk
    
  2. Use the default splunk-launch.conf. This is the basic properties file used by the Hunk service. We don't have to change anything special, so let's use the default settings...

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Learning Hunk
Published in: Dec 2015Publisher: ISBN-13: 9781782174820

Authors (2)

author image
Dmitry Anoshin

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record when it comes to implementing business and digital intelligence projects in numerous industries, including retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in the data integration process and is proficient in using various data warehousing methodologies. Dmitry has constantly exceeded project expectations when he has worked in the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relation databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics.
Read more about Dmitry Anoshin

author image
Sergey Sheypak

Sergey Sheypak started his so-called big data practice in 2010 as a Teradata PS consultant. His was leading the Teradata Master Data Management deployment in Sberbank, Russia (which has 110 billion customers). Later Sergey switched to AsterData and Hadoop practices. Sergey joined the Research and Development team at MegaFon (one of the top three telecom companies in Russia with 70 billion customers) in 2012. While leading the Hadoop team at MegaFon, Sergey built ETL processes from existing Oracle DWH to HDFS. Automated end-to-end tests and acceptance tests were introduced as a mandatory part of the Hadoop development process. Scoring geospatial analysis systems based on specific telecom data were developed and launched. Now, Sergey works as independent consultant in Sweden.
Read more about Sergey Sheypak