Splunk Dev & Admin Certification Training

Splunk is a software platform that offers wider job opportunities in the big data domain. It helps to analyze all the machine-generated data and face the challenges that it presents. Therefore, if you aspire to be a Splunk enthusiastic or a Splunk developer in the field of big data, then this Splunk Dev & Admin Certification Training Program is for you. It enables you to learn the complete aspects of Splunk such as installation, configuration, Splunk CIM, dashboard, long analysis, monitor, reports, etc.

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Splunk Certification Training Online – Overview

As part of this Splunk certification online program, you will learn all the aspects essential to becoming a Splunk admin and Splunk developer. As any machine in an organization will be continuously generating data, the Splunk software platform enables you to analyze and monitor big data generated through the machine. In this Splunk online training course, you will learn to use the Splunk tools and techniques to monitor, index, and scale large volumes of machine-generated data.

Splunk Certification Training Online – Key Features

  • Trusted content
  • Re-learn for free anytime in a year
  • Rigorous assignments and assessments
  • Learn at your own pace
  • Mandatory feedback sessions
  • Mock-interviews
  • Hands-on real-time experience
  • Free mentorship
  • Live chat for instant solutions
  • Job-ready employees post-training
  • End-to-end training
  • Download the certificate after the course
Splunk Certification Training Online – Skills Covered: Splunk architecture. Splunk tool. Splunk visualization. Cloud and log management. Splunk data analysis. Splunk log analyzer.

Splunk Certification Training Online – Benefits

In 2020, Splunk annual revenue growth was marked at %2.359B i.e. 30.83% increase from that of the annual revenue growth in 2019. However, it is expected to rise high due to its increased demand and there are known to be wider career opportunities.

Designation
Annual Salary
Hiring Companies
Job Wise Benefits
Designation
Splunk Developer

UK
Hiring Companies

Splunk Certification Training Online – Training Options

Self-Paced Learning

£ 1200

  • 1-year access to the Blockchain course content
  • 1 capstone project
  • Multiple assessments
  • Continuous feedback sessions
  • Access to the class recordings
  • Assistance and support
  • Download certification
  • Free mentorship

Online Boot Camp

£ 1000

  • Everything in Self-paced learning +
  • On-spot doubt clarification
  • Interactive training sessions
  • Sessions on the capstone project
  • Live, online classroom training
  • Mock-interviews

Corporate Training

Customized to your team's needs

  • 1-year access to the Blockchain course content
  • 1 capstone project
  • Multiple assessments
  • Continuous feedback sessions
  • Class recordings
  • Assistance and support
  • Certification after the course

Splunk Dev & Admin Certification Training Course – Curriculum

Eligibility

Splunk offers better career opportunities in the big data domain. If you are a fresher or a graduate planning to learn Splunk, then this Splunk certification course is for you. Also, system administrators, search analysts, database experts, software developers, and database administrators are eligible for this Splunk online course.

Pre-requisites

There are no pre-requisites for this course and you can join this course with no any basic knowledge. However, the knowledge of data analytics is beneficial, but not mandatory.

Course Content

  • 1.1 Introduction to Splunk and Splunk developer roles and responsibilities
  • 2.1 Writing Splunk query for search
  • 2.2 Auto-complete to build a search
  • 2.3 Time range
  • 2.4 Refine search
  • 2.5 Working with events
  • 2.6 Identifying the contents of search
  • 2.7 Controlling a search job
  • Hands-on Exercise
  • Write a basic search query
  • 3.1 What is a Field
  • 3.2 How to use Fields in search
  • 3.3 Deploying Fields Sidebar and Field Extractor for REGEX field extraction
  • 3.4 Delimiting Field Extraction using FX
  • Hands-on Exercise
  • Use Fields in Search
  • Use Fields Sidebar
  • Use Field Extractor (FX)
  • Delimit field Extraction using FX
  • 4.1 Writing Splunk query for search, sharing, saving, scheduling and exporting search results
  • Hands-on Exercise
  • Schedule a search
  • Save a search result
  • Share and export a search result
  • 5.1 How to create alerts
  • 5.2 Understanding alerts
  • 5.3 Viewing fired alerts
  • Hands-on Exercise
  • Create an alert in Splunk
  • View the fired alerts
  • 6.1 Describe and configure scheduled reports
  • 7.1 Introduction to Tags in Splunk
  • 7.2 Deploying Tags for Splunk search
  • 7.3 Understanding event types and utility
  • 7.4 Generating and implementing event types in search
  • 7.1 Introduction to Tags in Splunk
  • 7.2 Deploying Tags for Splunk search
  • 7.3 Understanding event types and utility
  • 7.4 Generating and implementing event types in search
  • Hands-on Exercise
  • Deploy tags for Splunk search
  • Generate and implement event types in search
  • 8.1 What is a Macro
  • 8.2 What are variables and arguments in Macros
  • Hands-on Exercise
  • First, you define a Macro with arguments and then use variables with in it Download Brochure
  • 9.1 Creating get, post and search workflow actions
  • Hands-on Exercise
  • Create get, post and search workflow actions
  • 10.1 Studying the search command
  • 10.2 The general search practices
  • 10.3 What is a search pipeline
  • 10.4 How to specify indexes in search
  • 10.5 Highlighting the syntax
  • 10.6 Deploying the various search commands like fields, tables, sort, rename, rex and erex
  • Hands-on Exercise
  • Steps to create a search pipeline
  • Search index specification
  • How to highlight syntax
  • Using the auto complete feature
  • Deploying the various search commands like sort, fields, tables, rename, rex and erex
  • 11.1 Using top, rare and stats commands
  • Hands-on Exercise
  • Use top, rare and stats commands
  • 12.1 Using following commands and their functions: addcoltotals, addtotals, top, rare and stats
  • Hands-on Exercise
  • Create reports using following commands and their functions: addcoltotals and addtotals
  • 13.1 iplocation, geostats, geom and addtotals commands
  • Hands-on Exercise
  • Track IP using iplocation and get geo data using geostats
  • 14.1 Explore the available visualizations
  • 14.2 Create charts and time charts
  • 14.3 Omit null values and format results
  • Hands-on Exercise
  • 1. Create time charts
  • 2. Omit null values
  • 3. Format results
  • 15.1 Calculating and analyzing results
  • 15.2 Value conversion
  • 15.3 Roundoff and format values
  • 15.4 Using the eval command
  • 15.5 Conditional statements
  • 15.6 Filtering calculated search results
  • Hands-on Exercise
  • 1.Calculate and analyze results
  • 2. Perform conversion on a data value
  • 3. Roundoff numbers
  • 4. Use the eval command
  • 5. Write conditional statements
  • 6. Apply filters on calculated search results
  • 16.1 How to search the transactions
  • 16.2 Creating report on transactions
  • 16.3 Grouping events using time and fields
  • 16.4 Comparing transactions with stats
  • Hands-on Exercise
  • 1.Generate report on transactions
  • 2.Group events using fields and time
  • 17.1 Learning data lookups
  • 17.2 Examples and lookup tables
  • 17.3 Defining and configuring automatic lookups
  • 17.4 Deploying lookups in reports and searches
  • Hands-on Exercise
  • 1.Define and configure automatic lookups
  • 2.Deploy lookups in reports and searches
  • 18.1 Creating search charts, reports and dashboards
  • 18.2 Editing reports and dashboards
  • 18.3 Adding reports to dashboards
  • Hands-on Exercise
  • 1.Create search charts, reports and dashboards
  • 2.Edit reports and dashboards
  • 3.Add reports to dashboards
  • 19.1 Working with raw data for data extraction, transformation, parsing and preview
  • Hands-on Exercise
  • 1.Extract useful data from raw data
  • 2.Perform transformation
  • 3.Parse different values and preview
  • 20.1 Describe pivot
  • 20.2 Relationship between data model and pivot
  • 20.3 Select a data model object
  • 20.4 Create a pivot report
  • 20.5 Create instant pivot from a search
  • 20.6 Add a pivot report to dashboard
  • Hands-on Exercise
  • 1. Select a data model object
  • 2. Create a pivot report
  • 3. Create instant pivot from a search
  • 4. Add a pivot report to dashboard
  • 21.1 What is a Splunk CIM
  • 21.2 Using the CIM Add-On to normalize data
  • Hands-on Exercise
  • 1. Use the CIM Add-On to normalize data
  • 22.1 Introduction to the architecture of Splunk
  • 22.2 Various server settings
  • 22.3 How to set up alerts
  • 22.4 Various types of licenses
  • 22.5 Important features of Splunk tool
  • 22.6 The requirements of hardware and conditions needed for installation of Splunk
  • 23.1 How to install and configure Splunk
  • 23.2 The creation of index
  • 23.3 Standalone server’s input configuration
  • 23.4 The preferences for search
  • 23.5 Linux environment Splunk installation
  • 23.6 The administering and architecting of Splunk
  • 24.1 How to install Splunk in the Linux environment
  • 24.2 The conditions needed for Splunk
  • 24.3 Configuring Splunk in the Linux environment
  • 25.1 Introducing Splunk distributed management console
  • 25.2 Indexing of clusters
  • 25.3 How to deploy distributed search in Splunk environment
  • 25.4 Forwarder management
  • 25.5 User authentication and access control
  • 26.1 Introduction to the Splunk app
  • 26.2 How to develop Splunk apps
  • 26.3 Splunk app management
  • 26.4 Splunk app add-ons
  • 26.5 Using Splunk-base for installation and deletion of apps
  • 26.6 Different app permissions and implementation
  • 26.7 How to use the Splunk app
  • 26.8 Apps on forwarder
  • 27.1 Details of the index time configuration file
  • 27.2 The search time configuration file
  • 28.1 Understanding of Index time and search time configuration filesin Splunk
  • 28.2 Forwarder installation
  • 28.3 Input and output configuration
  • 28.4 Universal Forwarder management
  • 28.5 Splunk Universal Forwarder highlights
  • 29.1 Implementing the Splunk tool
  • 29.2 Deploying it on the server
  • 29.3 Splunk environment setup
  • 29.4 Splunk client group deployment
  • 30.1 Understanding the Splunk Indexes
  • 30.2 The default Splunk Indexes
  • 30.3 Segregating the Splunk Indexes
  • 30.4 Learning Splunk Buckets and Bucket Classification
  • 30.5 Estimating Index storage
  • 30.6 Creating new Index
  • 31.1 Understanding the concept of role inheritance
  • 31.2 Splunk authentications
  • 31.3 Native authentications
  • 31.4 LDAP authentications
  • 32.1 Splunk installation, configuration
  • 32.2 Data inputs
  • 32.3 App management
  • 32.4 Splunk important concepts
  • 32.5 Parsing machine-generated data
  • 32.6 Search indexer and forwarder
  • 33.1 Introduction to Splunk Configuration Files
  • 33.2 Universal Forwarder
  • 33.3 Forwarder Management
  • 33.4 Data management, troubleshooting and monitoring
  • 34.1 Converting machine-generated data into operational intelligence
  • 34.2 Setting up the dashboard, reports and charts
  • 34.3 Integrating Search Head Clustering and Indexer Clustering
  • 35.1 Understanding the input methods
  • 35.2 Deploying scripted, Windows and network
  • 35.3 Agentless input types and fine-tuning them all
  • 36.1 Splunk user authentication and job role assignment
  • 36.2 Learning to manage, monitor and optimize Splunk Indexes
  • 37.1 Understanding parsing of machine-generated data
  • 37.2 Manipulation of raw data
  • 37.3 Previewing and parsing
  • 37.4 Data field extraction
  • 37.5 Comparing single-line and multi-line events
  • 38.1 Distributed search concepts
  • 38.2 Improving search performance
  • 38.3 Large-scale deployment and overcoming execution hurdles
  • 38.4 Working with Splunk Distributed Management Console for monitoring the entire operation
  • 39.1 Cluster indexing
  • 39.2 Configuring individual nodes
  • 39.3 Configuring the cluster behavior, index and search behavior
  • 39.4 Setting node type to handle different aspects of cluster like master node, peer node and search head

Splunk Dev & Admin Online Course – FAQs

Splunk is the most widely used software platform to monitor and analyze large volumes of machine-generated data. It helps you to derive meaningful insights that can be used for better business growth. Furthermore, if you want to make your career in the Splunk domain, then this Splunk Dev & Admin certification online course will help you to grab the competitive-edge skills that are essential to becoming a Splunk developer.

No, Splunk does not require any coding knowledge and you need not be an expert in any programming language to work on the Splunk platform. In order to execute Splunk, you can write scripts which is completely optional. As a Splunk developer or administrator, you just need to search, monitor, and analyze large amounts of data.

To learn the Splunk concepts, you can take 15 to 20 hours based on your background experience and grasping capability. It also depends on whether you want to gain intermediate-level knowledge or advanced-level knowledge. However, you can join our Splunk Dev & Admin Certification Course Online at Hatigen and complete your course in the period of one month.

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