What Are The Primary Reasons To Learn Hadoop?

The Hadoop market is currently undergoing a gigantic evolution and is showing no signs of deceleration. Being skilled in big data and Hadoop could be the perfect tool to aid you in going from your current career to your dream career.

Big data means large volumes of data. This can mean both structured and unstructured data. Hadoop is one such technology that is responsible for processing large datasets. It has evolved as a comprehensive big data platform. Apache Hadoop is an open-source framework that facilitates a network of computers to solve problems requiring massive computational power and datasets.

What are the Primary Reasons to Learn Hadoop?

Having understood what big data and Hadoop are, let us now delve deeper into the primary reasons to learn Hadoop.

Primary Reasons for Learning Hadoop

Hadoop is gaining immense popularity nowadays and learning it will offer the following benefits.

1. Enhanced Career Opportunities

A majority of the companies are looking for skilled IT professionals with prior knowledge in business intelligence and Hadoop ecosystems such as Pig, Hive, MapReduce, MongoDB, etc. This immense demand for Hadoop can be directly attributed to Hadoop being the most prominent technology as it can handle big data in a cost-effective and scalable manner. Hadoop professionals get opportunities from several industries such as finance, healthcare, agriculture, sports, energy, etc. Holding a certification in Hadoop is an added advantage. Candidates will be eligible to apply for positions such as data analyst, Hadoop administrator, data scientist, big data architect, Hadoop developer, etc. Hadoop is credited with being the strong pillar of IT big data systems such as Google, Facebook, Apple, Yahoo, Amazon, and eBay.

2. Revolutionizes Numerous Domains

Nowadays, big data is leaving no stone unturned. This implies that big data has become a major part of each and every industry, thus allowing organizations to leverage its capability to improve business values. The common domains that are rigorously using Hadoop and big data include government, banking, healthcare, retail, transportation, natural resources, and media and entertainment.

3. Scarcity of Big Data Hadoop Professionals

As discussed earlier in this article, the job opportunities for Hadoop professionals are growing at a rapid rate. There are many job roles that are still vacant due to the huge skill gap that is still persistent in the market. This scarcity for big data and Hadoop technology created a huge gap between the demand and the supply of professionals. This is the perfect time for big data and Hadoop professionals to start your journey towards building a bright career. 

4. Caters to Different Professional Backgrounds

The Hadoop ecosystem offers various tools that can be leveraged by professionals from different backgrounds. For those from the programming background, the MapReduce code caters to different languages like Python and Java. If you are a professional with exposure in scripting languages, ApachePig would be the best fit. Those who are comfortable with SQL can go ahead with Apache Drill or Apache Hive. A career in big data and Hadoop will suit professionals across designations such as:

  • Software Architects.
  • Software Developers.
  • Project Managers.
  • Senior IT Professionals.
  • Data Warehousing professionals.
  • Testing professionals.
  • Mainframe Professionals.

Conclusion

I hope this article gave you a brief overview of the primary reasons to learn Hadoop. To become a big data expert and get instant updates of big data certifications, check out Global Tech Council.

Published by Robert Smith

Hello, everyone, I am here to help you to know about future technology and its benefits. With this technology benefits, you can change the way of your professional life.

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