Splunk Developer & Admin Training

Instructor-led Training live online classes

OCT 7 ^th	SAT & SUN Weekend Batch	SOLD OUT Timings - 08:00 PM to 11:00 PM (IST)
OCT 16^th	MON - THU Weekdays Batch	Filling Fast Timings - 08:00 PM to 10:00 PM (IST)
OCT 28^th	SAT & SUN Weekend Batch	Timings - 08:00 PM to 11:00 PM (IST)
NOV 04^th	SAT & SUN Weekend Batch	Timings - 08:00 PM to 10:00 PM (IST)

About Splunk Training and Certification Course

This is an Mildaintrainings masters’ program in Splunk tool that includes Splunk developer and Splunk administration training. As part of this Splunk course, you will work on searching, sharing, saving Splunk results, creating tags, generating reports and charts, installing and configuring Splunk, monitoring, scaling and indexing large volumes of searches and analyzing it using the Splunk tool.

What you will Learn

Introduction to Splunk architecture
Installation and configuration of the Splunk tool
Splunk search, cloud and log management
Deploying Splunk visualization, reports and charts
Managing users and indexes on Splunk
Splunk data analysis, calculation and format
Splunk database lookup, execution and security
Splunk log analyzer for web log analysis

PREREQUISITES

Knowledge of Data Analytics concepts is beneficial but not essential for taking this Splunk course.

CURRICULUM

Splunk Developer Course Content

What are the components
Discussion on Forwarders- UF/HF
Common ports for the set up
License Master/Slave relationship
Understanding of Deployment Server and Indexer

Understand the uses of Splunk
Define Splunk Apps
Learn basic navigations in Splunk

Run basic searches
Set the time range of a search
Identify the contents of search results
Refine searches
Use the timeline
Work with events
Control a search job
Save search results

Understand fields
Use fields in searches
Use the fields sidebar

Save a search as a report
Edit reports
Create reports that include visualizations such as charts and
tables Add reports to a dashboard

Creating a dashboard
Add a reports to a dashboard
Add a pivot report to a dashboard
Edit a dashboard

Review basic search commands and general search practices
Examine the anatomy of a search
Use the following commands to perform searches:
    (a) Fields
    (b) Table
    (c) Rename
    (d) Rex
    (e) Multikv

Use the following commands and their functions:
    (a) Top
    (b) Rare
    (c) Stats
    (d) Addcoltotals

Explore the available visualizations
Create a basic chart
Split values into multiple series
Omit null and other values from charts
Create a timechart
Chart multiple values on the same timeline
Format charts
Explain when to use each type of reporting command

Using the eval command:
    (a) Perform calculations
    (b) Convert values
    (c) Round values
    (d) Format values
    (e) Use conditional statements
Further filter calculated results

Define naming conventions
Create and use field aliases
Create and use calculated fields

Perform field extractions using Field Extractor

Create and use tags
Describe event types and their uses
Create an event type

Describe the function of a workflow action
Crate a GET workflow action
Crate a POST workflow action
Crate a Search workflow action

Describe alerts
Create alerts
View fired alerts

Describe macros
Manage macros
Create and use a basic macro
Define arguments and variables for a macro Add and use arguments with a macro

Join,lookup,transaction,xyseries,streamstats,eventstats
bin, appendcols,etc.
Data Model and Pivot
Dynamic Dashboard

Splunk Administration Topics

Learning Objectives:

Introduction to the Splunk 3 tier architecture, understanding the Server settings, control, preferences and licensing, the most important components of Splunk tool, the hardware requirements, conditions for installation of Splunk.

Learning Objectives:

Understanding how to install and configure Splunk, index creation, input configuration in standalone server, the search preferences, installing Splunk in the Linux environment.

Learning Objectives:

Installing Splunk in the Linux environment, the various prerequisites, configuration of Splunk in Linux.

Learning Objectives:

Introduction to the Splunk Distributed Management Console, index clustering, forwarder management and distributed search in Splunk environment, providing the right authentication to users, access control.

Learning Objectives:

Introducing the Splunk app, managing the Splunk app, the various add-ons in Splunk app, deleting and installing apps from SplunkBase, deploying the various app permissions, deploying the Splunk app, apps on forwarder.

Learning Objectives:

Understanding the index time configuration file and search time configuration file.

Learning Objectives:

Learning about the index time and search time configuration files in Splunk, installing the forwarders, configuring the output and inputs.conf, managing the Universal Forwarders.

Learning Objectives:

Deploying the Splunk tool, the Splunk deployment Server, setting up the Splunk deployment environment, deploying the clients grouping in Splunk.

Learning Objectives:

Understanding the Splunk Indexes, the default Splunk Indexes, segregating the Splunk Indexes, learning about Splunk Buckets and Bucket Classification, estimating index storage, creating new index.

Learning Objectives:

Understanding the concept of role inheritance, Splunk authentications, native authentications, LDAP authentications.

Learning Objectives:

Splunk installation, configuration, data inputs, app management, Splunk important concepts, parsing machine- generated data, search indexer and forwarder.

Learning Objectives:

Introduction to Splunk Configuration Files, Universal Forwarder, Forwarder Management, data management, troubleshooting and monitoring.

Learning Objectives:

Converting machine-generated data into operational intelligence, setting up Dashboard, Reports and Charts, integrating Search Head Clustering & Indexer Clustering.

Learning Objectives:

Understanding the input methods, deploying scripted, Windows, network and agentless input types, fine-tuning it all.

Learning Objectives:

Splunk User authentication and Job Role assignment, learning to manage, monitor and optimize Splunk Indexes.

Learning Objectives:

Understanding parsing of machine-generated data, manipulation of raw data, previewing and parsing, data field extraction.

Learning Objectives:

Distributed search concepts, improving search performance, large scale deployment and overcoming execution hurdles, working with Splunk Distributed Management Console for monitoring the entire operation.

Learning Objectives:

Project Type – Field Extraction Topics : In this project you will learn to extract fields from events using the Splunk field extraction technique. You will gain knowledge in the basics of field extractions, understand the use of field extractor, the field extraction page in Splunk web and field extract configuration in files. Learn about the regular expression and delimiters method of field extraction. Upon completion of the project you will gain expertise in building Splunk dashboard and use the extracted fields data in it to create rich visualizations in an enterprise setup.

FAQs

You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
1. Online ,By deposit the mildain bank account
2. Pay by cash team training center location

Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

Contact us using the form on the right of any page on the mildaintrainings website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

You will never miss a lecture at Mildaintrainigs! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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