It Easy To Learn Big Data Hadoop

 

 

Is It Easy To Learn Big DataHadoop?


Hadoop is amongst the dominant big data technologies today, with an increasing number of companies tapping into this technology to store and analyze large data. It has created tremendous opportunities for professionals who want to make a career in big data.

What Is Hadoop?

Apache Hadoop is an open-source framework. It allows distributed processing of huge data sets across clusters of computers. Hadoop has four components.

·         Hadoop Common: Collection of supporting utilities and libraries for other Hadoop components.

·         Hadoop Distributed File System (HDFS): Processing framework that helps store and manage data for big data applications.

·         Hadoop YARN: Takes care of resource management, job scheduling, and other processing needs.

·         Hadoop MapReduce: Enables the processing of large datasets across thousands of clusters. It processes data in two stages: Mapping & Reducing.

Is It Easy To Learn Big Data Hadoop?

You can easily learn Big Data Hadoop given you are committed to it and want to add it to your skills to improve your job growth prospects. Learning Hadoop requires joining a professional training program that gives you hands-on training about working in the Hadoop environment.

While there is no limitation on who can learn it, it’s definitely an advantage if you have knowledge in the following areas.

Programming Skills

Depending on the role you want to pursue, you need to know a few programming languages. If you are going for developmental work, you must know java while python or R is relevant for analysis work. You necessarily don’t need to be a programmer for learning Hadoop. However, knowledge of programming languages will help you in Hadoop programming. It will take you around 6-7 months to learn the programming language.

SQL Knowledge

No matter which role you want to pursue, knowledge of SQL is a must. Hadoop ecosystem consists of major software packages like Apache Hive, Pig, HBase, Pig, thrift that need querying the data from HDFS using SQL-like querying language.  So, you must know about SQL as it will help you understand the newer tools and technologies required for large datasets processing.

Linux

You should have basics knowledge of Linux, its commands, and editors as Hadoop is mostly installed on Linux. If you have prior knowledge of Linux, it would be easier to install the Hadoop framework. Also, note that Hadoop version 2.2 and onwards have native Windows support. You will take at least a month to learn Linux.

Job Roles After Learning Hadoop

Hadoop skills are in great demand. So, learning it will accelerate your career growth and increase your pay package too. It has promising career potential and is a great skill to have, whether you are a beginner or an experienced professional.

Once you learn big data Hadoop, you can take up various job roles associated with Hadoop technology.

·         Hadoop developer

·         Hadoop administrator

·         Data scientist

·         Software developer

·         Data analyst

·         Hadoop architect

·         MapReduce developer

·         DevOps

·         Data developer

·         Data Security admin

·         Data visualizer

·         Data architect

Career Benefits of Big Data Hadoop 



The best Big Data Hadoop will propel your career in the right direction. Some of its career benefits are:

Relevant for Professionals from Different Backgrounds

Professionals from various backgrounds can leverage Hadoop as the Hadoop ecosystem consists of various tools and infrastructure. Professionals from Data warehouse (DW), Business Intelligence (BI), ETL, SAP, Mainframe background, or any other technology background can start learning Hadoop.

Hadoop Is on a High Growth Path

Hadoop is cost-effective, adaptable, scalable, and speedy. Startups and Fortune 500 companies are adopting Big Data Hadoop for exponential growth. This has made the Hadoop ecosystem necessary for making the big data strategy. It is projected that the global Hadoop market size will grow to $23.5 billion by 2025, at a CAGR of 13.0%. It is also useful in various domains such as banking and finance, education, healthcare, government companies, communication, and media, etc.

High Demand, Better Pay

Technologies like Apache Hadoop, Apache Hive, MapReduce, and Pig as in-demand and high-paying skills. If you have these skills, it will maximize your earning potential. The average salary for a Hadoop professional in the US is $90,950 per year.

Conclusion

The reasons mentioned above make it is clear that learning Big data Hadoop offers a promising career.  As long as we generate data, technologies like Hadoop will stay relevant. The best bigdata Hadoop training is a good starting point for you. After that, you can think of getting a Hadoop certification. 


 

Location: California, USA

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