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You're reading from  Learning Hunk

Product typeBook
Published inDec 2015
Reading LevelIntermediate
Publisher
ISBN-139781782174820
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Analysis
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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.
Read more about Sergey Sheypak

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What is Mongo?

Mongo is a popular NoSQL solution. There are many pros and cons for using Mongo. It's a great choice when you want to get simple and rather fast persistent key-value storage with a nice JavaScript interface for querying stored data. We recommend you start with Mongo if you don't really need a strict SQL schema and your data volumes are estimated in terabytes. Mongo is amazingly simple compared to the whole Hadoop ecosystem; probably it's the right option to start exploring the denormalized NoSQL world.

Installation

Mongo is already installed and ready to use. Mongo installation is not described. We use Mongo version 3.0.

You will install the special Hunk app that integrates Mongo and Hunk.

Installing the Mongo app

Visit https://splunkbase.splunk.com/app/1810/#/documentation and download the app. You should use the VM browser to download it:

  1. Click on Splunk Apps:

  2. Click on Manage Apps:

  3. Choose Install app from file:

  4. Select the downloaded app and install it.

  5. You should see the Mongo app...

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

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