Interesting Facts:
- The global Hadoop Big Data market is expected to grow at a Compound Annual Growth Rate (CAGR) of 43.4% or from USD 4.91 billion in 2015 to USD 40.69 billion in 2021.
- A recent press release from Marketwatch states that there is going to be significant growth in the Hadoop market between 2019 and 2025.
- Almost every sector is investing in Hadoop talent, some of the major sectors being IT, retail, e-commerce, manufacturing, healthcare, advertisement, finance, and insurance.
- Some of the well-established names looking for Hadoop developers include Google, Amazon, Netflix, Microsoft, and many more.
- Hadoop is ideal for startups too, and the fact is revealed by Crayon Data, Fractal Analytics, Sigmoid Analytics are investing in Hadoop talent.
Did You Know?
The average annual salary for a Hadoop developer at entry-level is around INR 4-8 lacs.
At a mid-career, it can reach up to INR 7 to 15 lacs, and at senior-level, the salary can go as high as INR 28 to 50 lacs.
The need for frameworks like Hadoop is fuelled by the fact that there will be over 150 zettabytes of data to be processed and analyzed by 2025, according to an article by Forbes.
Allied Market Research states that the global Hadoop market will reach USD 84.6 billion by 2021 and there will be a lack of 1.4 to 1.9 Hadoop developers in just the US.
How rewarding a career in this domain can be which is in demand across all the sectors and that too worldwide! How productive can it be if you have undergone a Hadoop online course and got the certification to your resume?
That will be really beneficial if you want to become a Hadoop developer and make your career skyrocket. Let us discuss Hadoop and what skills you need to develop in order to become one.
What is Hadoop?
As described on the official home page of Hadoop, it is defined as “The Apache Hadoop project develops open-source software for reliable, scalable, and distributed computing.”
This software is explicitly developed for the management of Big Data, its storage, and processing.
Apart from storing huge amounts of data, it can also execute applications on different clusters of commodity hardware. When you have huge datasets to be processed across clusters of computers you need to use simple programming models, and Hadoop is there to help you out. It allows you to perform distributed processing of large datasets.
Hadoop is made up of four modules:
- Hadoop Common-
this module contains a set of supporting utilities and libraries to be used by other Hadoop modules.
- HDFS or Hadoop Distributed File System-
the most crucial component of Hadoop, it is a distributed, fault-tolerant, auto-replicating file system that can store data in clusters and gives you quick access to the stored data.
- Hadoop YARN-
it is a processing layer that collectively looks after resource management, scheduling of jobs, and handles different processing requirements.
- Hadoop MapReduce-
Hadoop MapReduce is referred to as “the heart of Hadoop” by IBM. it is a rigid-programming model that is batch-oriented and performs the processing of large datasets across a cluster of computers/nodes. The data is processed in two phases namely Mapping and Reducing.
Hadoop Features
The special features that make Hadoop the favorite framework are:
- Scalability
With this feature, businesses can process and get insights from petabytes of data stored in the HDFS.
- Speed
It allows parallel processing and minimal movement of data thereby allowing processing of large datasets with speed.
- Flexibility
It allows easy access to different data sources and data types hence providing flexibility.
- Adaptability
Hadoop is adaptable in the sense that it supports a variety of programming languages such as Python, Java, and C++.
What is a Hadoop Developer?
A Hadoop Developer is defined as a professional who has specialization in software development, mainly on Big Data for the Hadoop ecosystem.
The primary duties of a Hadoop developer are to define workflows, writing programs according to system design, and solve business cases by developing APIs/Applications/Solutions. In addition, you are required to implement solutions to review, mine, analyze, data, and use cluster services within a Hadoop ecosystem.
Some crucial skills you need to acquire to become a Hadoop developer are:
- Problem-solving in the context of programming
- Documentation
- Architecture and design
- Designing workflows, scheduling, and utilizing
- Loading the data in varied formats
Let us read the skills required in brief.
Skills Required to Become a Hadoop Developer
To make your career go places, you can learn Big Data technologies and frameworks like Hadoop as it doesn’t require any strict prerequisites. But you need some skills to develop in order to master the concepts of Hadoop. Those are:
- Programming Skills
Depending upon the role you need to fulfill, Hadoop development requires thorough knowledge of various programming languages. You can learn Java for development purposes, while R or Python for analysis practices. You can also learn Hadoop from scratch as it doesn’t require you to belong to an IT background.
- SQL
Irrespective of the role, you need it is essential to have a good understanding of SQL to pursue a career in Big Data. The reason is that the majority of companies are now moving into the arena of Big Data leaving behind RDBMS for data management. There is a huge amount of data that is structured, and the unstructured data is converted into structured for the purpose of processing. Additionally, the Hadoop ecosystem consists of packages such as Hive, Impala, and Spark components which require a thorough knowledge of SQL. The prior knowledge of SQL can allow you to use the tools and techniques for processing the data without caring about the underlying processing frameworks.
- Linux
Most of the deployments in Hadoop across all the industries are Linux-based which in turn require you to have prior knowledge of Linux. The Linux versions 2.2 and onwards have Windows support.
Conclusion
Now that you are acquainted with the fact that Hadoop is used across all the industries and have learned about the skills required to learn Hadoop, you can go with an online training course to make a career in this domain. Since Hadoop and Big Data are relevant for professionals from different backgrounds such as Software developers, Business Analysts, Software Architects, and more, anyone can apply for it.
Also, Hadoop is on a good growth path with salaries as high as USD 100,000, you would like to add a certification to your resume.
Taking up an online training course is beneficial as it provides you with self-paced learning and a mode of learning of your choice. The training providers ensure that you are prepared well for the certification by conducting doubt sessions by industry experts.
All you need is to get yourself enrolled!