{"id":71774,"date":"2019-11-04T09:11:57","date_gmt":"2019-11-04T03:41:57","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=71774"},"modified":"2026-04-30T12:09:28","modified_gmt":"2026-04-30T06:39:28","slug":"ajish-janardanan-success-story","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/ajish-janardanan-success-story\/","title":{"rendered":"My transition from Java Developer to Big Data Analyst – Ajish’s Story"},"content":{"rendered":"
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“With me, the DataFlair team also worked hard and hence we together achieved success. They lead my way to become a Big Data Lead – Says Ajish”<\/strong><\/em><\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>

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Making a transition into Big Data is a journey paved with obstacles and learning. There is always so much to learn and implement. I recently made a career transition into Big Data. During my transition, I get to experiment with concepts, apply them in different environments, and add to my knowledge through practical applications.<\/p>\n

So, this story is my experience with this switch, my learning, and my advice to all aspiring future Big Data professionals looking for their first big break.<\/p>\n

Change was necessary<\/strong><\/p>\n

I worked as an Application Developer in Java for 4 years<\/strong>. However, my learning graph slowed down over this period. I was restless. The role was great but I was looking for professional growth. So, I decided it was finally time for a change.<\/p>\n

Career move with the technology I love<\/h3>\n

Again and again, I had heard about this buzzword for many years. Yes, you might have guessed it \u201cBig Data\u201d<\/strong>. I started exploring career options in this field as Data has always fascinated me. There is nothing better than working in a field that you love!<\/p>\n

With the help of Google, I searched for institutions providing courses for a career in Big Data. A deep dive into this domain made me believe that DataFlair is the correct option for me.<\/p>\n

I learned more about the institution from its website and a huge number of blogs, tutorials, quizzes, forums, etc. Finally, I enrolled in Big Data, Hadoop and Spark Developer course<\/strong><\/a>.<\/p>\n

Challenges I faced during this transition of Java to Big Data<\/h3>\n

The biggest challenge was not to switch one but many technologies to become an effective Big Data Lead. Skills like Programming, Quantitative skills, Interpretation of Data, Hadoop, Hive, Pig, Flume, Sqoop, Spark, Scala, Linux, etc. Also, there is a new tool or package or technology or an entire algorithm coming up every now and then.<\/p>\n

One end solution: DataFlair<\/strong><\/p>\n

Big Data is one of the fastest-growing domain. It's a tough job to cope up with the speed in which this field is progressing. I gave all my efforts during my training so that I get to know every inch of this field. The instructor at DataFlair was really experienced and had big knowledge about Big Data. The training sessions conducted by the instructor were very simple and easy to understand. He cleared all the doubts by giving real-life examples. He used to give assignments and projects based on real-life<\/strong> for which a lot of research and studying is done. So, when candidates work on these assignments they automatically get prepared for the interviews.<\/p>\n

In addition to the training sessions, I used to devote an extra hour daily to read articles and blogs published on DataFlair, Quora, and LinkedIn so that I can stay updated with the latest technologies.<\/p>\n

The first Big Data Job (My Interview)<\/h3>\n

After getting wonderfully trained by DataFlair, I felt ready for a job in Big Data. I appeared for an interview which was divided into two rounds. In the first technical round, I was asked to answer the following questions:<\/p>\n