September 22, 2021

Big Data Hadoop for beginners. Where to start and how?

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Since the development of technology, data has grown at an exponential rate. Everybody has a smartphone these days. Every smart device produces information. We like expressing our thoughts and feelings with others as social animals, and social media gives the perfect platform for doing so.

As a result, Big Data Hadoop is a constantly changing area, with new technologies and community members constantly being introduced. If you want to get into Big Data Hadoop but don’t know where to begin. You’ve arrived at the intended site. In this blog, we’ll show you how to get started with Big Data Hadoop and where to go for resources. Enrolling in a Big Data Hadoop Certification program as a first step is a wise decision.

To begin studying Big Data Hadoop, or any technology for that matter, you must first have two key qualifications.

How Do I Begin (Guidance)?

When learning something new, having proper guidance may help you comprehend things more clearly and quickly. But, of course, I am not dismissing the possibility of self-learning. We can study indefinitely through self-learning since we have infinite access to knowledge via the internet and smart devices. However, it will always direct us to where to begin and how to proceed, which may be an issue that can be handled with proper guidance.

So the first thing you should do is enroll in a course. A course that will teach you all you need to know to become a successful Big Data Hadoop specialist, from the basics to advanced levels. To save time and learn more, I would prefer an online course.

Where to Start (Objective)? 

Why do you need to study Big Data Hadoop in the first place? You should have a deeper look at this question since it will help you learn more effectively. Wondering how?

If all you want to do is get a peek at this technology, the basics will suffice. However, if you want to learn it for the purpose of pursuing a career in it, you must prepare for interviews in advance. If you’re just wanting to brush up on your skills, advanced level Big Data is a good place to start.

Furthermore, if you want to study specifically for a task in your project or present role, you may learn the frameworks and libraries required for that purpose. As you can see, having a defined learning objective aids you in achieving it. Therefore, figure it out and prepare yourself accordingly. 

Now it’s time to discuss the important concepts to guide you on what to learn.

What to Learn (Skills)?

Let’s just concentrate on technical skills or just concepts to learn Big Data Hadoop. 

Start with Hadoop

“Big Data” refers to huge and complicated data that can not be handled using standard data processing technologies. In order to deal with such a volume of data, platforms like Hadoop would be required to handle it efficiently. These technologies make it easier to analyze and handle data. So learn Hadoop first then get into Big Data. Learn and comprehend topics easily with this Hadoop Tutorial


Prior understanding of programming and database languages is required in order to master Big Data Hadoop. Learning a programming language helps you become confident in coding so that you can learn other concepts easily. Python, Java, Scala are basic programming languages required for Big Data. SQL is a valuable skill since it helps cope with Big Data and databases. Additionally, you have to learn Linux as it is an operating system. So knowing Linux commands help you with installation. 


  • First, learn about Big Data and Hadoop components. 
    • Apache Spark
    • Pig
    • MapReduce
    • Sqoop
    • Flume
    • HBase
    • HDFS
    • Oozie, and other
  • Second, understand how to write applications in Spark, Spark SQL, and concepts like Streaming, Data Frame, RDD, GraphX, and MLlib 
  • Then finally, learn about Hadoop administration, its maintenance, monitoring, troubleshooting, and testing. 

What Next?

Learning does not stop. If you are truly looking for a career in Hadoop Big Data, you have to make your hands dirty. 


Then you need to work on hands-on training to enhance what has been learned in theory. Your knowledge will only matter if you can put it into real-time applications. This might take time but it is as crucial as learning the theory, in fact, more. Work on real-time assignments and projects that hone your skills. To get started, just download a VM from either Hortonworks or Cloudera. Every course provider may also be able to supply you with Virtual Machines. If you can access Hadoop and practice it, the Hadoop learning process will be more efficient.


A certification is proof that you’re an expert in your field. They serve as an external confirmation that you have the required abilities to thrive in your career. As a result of certification, you might learn new technologies, skills, and talents for a certain job. To develop in your profession, you may want to get new or upgraded credentials in a specific area of expertise.

  1. Cloudera Certified Hadoop Developer 
  2. IBM Big Data Architect Certification.
  3. Hortonworks Certified Apache Hadoop Administrator 
  4. MapR Certified Hadoop Developer.

Keep Updating

It’s all about the data. When it comes to Hadoop, the possibilities are limitless. You must continuously strive to develop yourself in order to be successful in this area. The Hadoop community is a fantastic place to keep up with the newest technology and to connect with other smart minds. 

So, the bottom line is “ Keep learning, keep motivating and keep going, you will meet success in your way”. 

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