Using Splunk with Hadoop

In this tutorial we are going to see the ways to use the Splunk with Hadoop

How to use Splunk with Hadoop?

Hadoop is one of the most used and very popular Big Data platform while Splunk is an engine which is used for data collection, indexing and visualization. In this tutorial we are learning about the various ways you can integrate and use Splunk with Hadoop.

Splunk Big Data platform recently announced the Hunk (Hadoop and Splunk) to make the system work the Hadoop. Many customers are wondering how they can use both these.  From Splunk perspective there are three ways it can be used with Hadoop.

Here we are discussing the three ways to use Splunk with Hadoop. Let's see these one by one:

Splunk App for HadoopOps

This app can be used to see the status and working of the Hadoop cluster. Splunk can be used to index the data generated  my Hadoop machines and then monitor the clusters easily. All the Hadoop services, processes, jobs, health status, components etc.. details can be indexed by Splunk and present the status report from Splunk dashboard.

Splunk Hadoop Connect

The Splunk Hadoop Connect is the next option of connecting Splunk with Hadoop and this connection is two way. Data can be moved from Splunk to Hadoop and vice versa.

Splunk can only analyze the data which is within its storage, it can't analyze the data stored in the Hadoop. In order to analyze data with Splunk it needs to be moved to Splunk.

Some customers find this is method a as an easy way to first collection data and analyze it. Later on data can be moved to Hadoop environment.

One drawback is that Splunk is not able to perform the analytics with the data stored in Hadoop. Although this connection mechanism is being used by many customers and they find it very promising in analysis of data.

Hunk: Splunk Analytics for Hadoop

Splunk come up with Hunk, which is a combination of popular Hadoop and Splunk. Currently its in beta development. This enables Splunk to analyze the data stored in Hadoop system and generates rich analytics reports.

This will  make data analysis and visualization very useful and it can access the huge set of data stored in the Hadoop distributed file system.

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