Large amounts of data are generated every day by our smartphones, computers, and IoT devices. You may have heard that a top-rated tool called Splunk is used to manage this data. If you have no idea what Splunk is, you might wonder if it’s a programming language—so is it?
Splunk is not a programming language. It is a software-based platform to store and manage machine-generated data. It allows you to search through and visualize large amounts of data with ease. You also don’t need to know programming to become a professional Splunk administrator.
This article will discuss everything you need to know about what Splunk is and how it works. We’ll also look at job opportunities as a Splunk professional and some resources for you to become a Splunk expert.
Important Sidenote: I interviewed 100+ data science professionals (data scientists, hiring managers, recruiters – you name it) and identified 6 proven steps to follow for becoming a data scientist. Read my article: ‘6 Proven Steps To Becoming a Data Scientist [Complete Guide] for in-depth findings and recommendations! – This is perhaps the most comprehensive article on the subject you will find on the internet!
What Is Splunk?
Machine data has grown exponentially over the last decade. The number of machines and the use of IoT devices has also increased. Companies have a tremendous opportunity to use this data to understand their customers better and grow their business.
The only problem is that it is very challenging to analyze and visualize this enormous amount of unstructured data. When you have so much data to process, where do you even begin?
That’s where Splunk comes into the picture.
Splunk is a software platform that allows you to search, analyze, and visualize machine-generated big data. Programming languages like Python, R, and Julia are also used for data processing, but Splunk is not one of them. It doesn’t require coding on the user’s part since it’s a software-based platform with a web-style interface.
Splunk is primarily used to gather data from IT systems, but it can also extract information from websites and applications. Splunk then processes the collected data using its algorithms to generate reports, graphs, dashboards, alerts, and visualizations. This helps companies gain insights from their user data and make better business decisions based on those insights.
How Does Splunk Work?
We’ve seen how we’re generating quintillions of data every day by networking devices, sensors, phones, IoT devices, and more. But this big data is hard to analyze and understand because it is unstructured and large in quantity.
Splunk aims to solve this problem by collecting, analyzing, and then storing the data. You don’t need a backend or database when using Splunk since it stores information directly using its indexes.
Once the software has gathered and processed the data, end users can search, analyze, and visualize it using Splunk. It accepts any type of data like CSV, log formats, JSON, etc., and presents it in an easy-to-understand format for us to use.
The most significant advantage of Splunk is that it can collect and process data in real-time. You can think of Splunk as Google for log files (though it does a lot more than log processing today). It tells you the state of a machine or software in real-time by storing all your logs on disk and allowing you to search them similarly to how Google does for web pages.
What Is Splunk Used For?
Splunk is extremely useful for a lot of tasks that would otherwise be very difficult. For example, troubleshooting system failures can be one heck of a challenge if you’re dealing directly with machine-generated data. Splunk solves this problem by simplifying the task of searching for information buried deep in large amounts of complex data.
It’s no wonder Splunk is the go-to software for troubleshooting system failures.
It is also used for reporting and alerting. It can capture everything from correlations to statistics to frequencies in a report. Users can also look for events within a specific time range. This allows system admins to find out exactly when an issue happened. Splunk can then be used to dig deeper and figure out the underlying cause of the problem. Admins can then set up alerts to ensure that it doesn’t happen again.
Splunk can generate a variety of reports like pie charts, graphs, bar charts, etc. Monitoring and diagnosis problems is a breeze with this software. It’s also used to analyze system performance and store and retrieve data.
Do You Need To Know Programming for Splunk?
We’ve established that Splunk is not a programming language. But does it require programming, or can you use Splunk without coding?
Well, Splunk doesn’t require you to know any programming language at all since the interface is GUI-driven. You can write simple scripts to automate tasks within the software, but it’s optional. This doesn’t mean that scripting knowledge won’t help you every now and then; it’s just that scripting is nearly never required.
Now, if you’re familiar with Python, you’ll probably find a way to use it with Splunk. But you can be a professional Splunk administrator and never have to learn Python. If you know some web development, you will find it easy to design customized dashboards and interfaces from Splunk-stored data.
Is It Worth Pursuing as a Career?
Splunk has become an industry-standard tool for managing machine-generated data. It packs many features and functions that make it suitable for many crucial tasks like security logging. There are various training courses and certifications for Splunk, making it easy to learn and use this software.
So Splunk is undoubtedly worth learning. It opens the door to a host of big data architecture, administration, and management opportunities. I’ve written a full article about Splunk as a career choice. You can read it here: Is Splunk Worth Learning?
The first step to becoming a Splunk expert is to learn the basics using a training course. You can then follow multiple certification paths, including Splunk Certified Core User, Splunk Enterprise Certified Admin, and Splunk Enterprise Certified Architect. Once you’ve acquired a certification, you can easily land a well-paying job.
Resources for Learning Splunk
The best resource to learn Splunk is through their official courses. You can start with the free fundamentals course to learn the basics of Splunk. Apart from this course, the Splunk website offers a few more free classes and a full list of all free educational content available.
Another free resource is the Splunk book. It’s a good starting point to learn how to use Splunk. Splunk’s YouTube channel is also active, and you’ll find several informational videos teaching Splunk for free on YouTube:
There are various types of certifications in Splunk. Most of them require you to go through a paid training class to obtain. The courses may seem expensive, but they’re worth the investment. This is because you’ll not only learn Splunk from experts but also acquire certifications that’ll give you an edge over other candidates looking for the same position.
I’ve written a full blog post discussing the significance of Splunk certifications. You can read it here: Is Splunk Certification Worth It?
Lastly, I want to emphasize that Splunk has an extremely helpful community. You’ll learn a lot just by Googling queries, asking questions, and reading the responses of other Splunk users. For example, check out this detailed post on how to get started learning Splunk for newbies.
Author’s Recommendations: Top Data Science Resources To Consider
Before concluding this article, I wanted to share few top data science resources that I have personally vetted for you. I am confident that you can greatly benefit in your data science journey by considering one or more of these resources.
- DataCamp: If you are a beginner focused towards building the foundational skills in data science, there is no better platform than DataCamp. Under one membership umbrella, DataCamp gives you access to 335+ data science courses. There is absolutely no other platform that comes anywhere close to this. Hence, if building foundational data science skills is your goal: Click Here to Sign Up For DataCamp Today!
- IBM Data Science Professional Certificate: If you are looking for a data science credential that has strong industry recognition but does not involve too heavy of an effort: Click Here To Enroll Into The IBM Data Science Professional Certificate Program Today! (To learn more: Check out my full review of this certificate program here)
- MITx MicroMasters Program in Data Science: If you are at a more advanced stage in your data science journey and looking to take your skills to the next level, there is no Non-Degree program better than MIT MicroMasters. Click Here To Enroll Into The MIT MicroMasters Program Today! (To learn more: Check out my full review of the MIT MicroMasters program here)
- Roadmap To Becoming a Data Scientist: If you have decided to become a data science professional but not fully sure how to get started: read my article – 6 Proven Ways To Becoming a Data Scientist. In this article, I share my findings from interviewing 100+ data science professionals at top companies (including – Google, Meta, Amazon, etc.) and give you a full roadmap to becoming a data scientist.
Splunk is a software-based platform designed to store and manage machine-generated data. It allows users to quickly search the data and presents it in an easy-to-understand form using charts, graphs, and other visual elements.
It is very popular in the industry, and learning it can easily lead to a well-paying job. Since Splunk has nothing to do with programming languages, you can become a Splunk professional even if you don’t know how to code.
BEFORE YOU GO: Don’t forget to check out my latest article – 6 Proven Steps To Becoming a Data Scientist [Complete Guide]. I interviewed 100+ data science professionals (data scientists, hiring managers, recruiters – you name it) and created this comprehensive guide to help you land that perfect data science job.
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