Most computer science engineers upon first hearing the word Hadoop raise their eyebrows and wonder ‘what is this weird-named technology?’
If you are one of these engineers who are being newly initiated into the field of Hadoop, then the following post will clear up your doubts regarding what this technology is and the career vistas that it opens up to you when you enter this field.
To begin what: what exactly is Hadoop?
Hadoop is an open-source software framework that is used for storing massive amounts of data and has enormous processing power along with the capability to parallelly handle and process an unlimited number of tasks/jobs.
Here’s why a need for Hadoop arose:
As the worldwide web grew and the amount of information to be processed increased- Big Data it’s called now- there arose a need for systems that were almost infallible in their workings. There was a large amount of data to be processed, parsed, stored, retrieved, and hardware systems that kept pace with this amount hadn’t been invented yet. One system, anyhow, wouldn’t have been sufficient to store the diverse kinds of data that the world was generating on a daily basis.
To sum it up, Hadoop arose because:
- There wasn’t enough space to store the data being generated in current times
- Storing huge amounts of heterogeneous data: unstructured, semi-structured, structured- was also a problem
- Even if the data were to be stored, the processing and accessing speed of the systems wasn’t fast enough- especially if you throw concurrent access in the equation.
Here’s how Hadoop fulfills those needs:
- Through its ability to store large amounts of data quickly
- It’s computing prowess as a result of the distributed model of computing. The number of nodes is large.
- Increased fault tolerance since multiple nodes are at work. If one of them fails, task execution can be redirected to other nodes.
- Through low cost, since the open-source framework is free and commodity software is used to store large amounts of data
- Through increased and easy scalability since only a node is to be added when system expansion is needed.
Scope of Hadoop in the future
Hadoop is a technology of the future, especially in large enterprises. The amount of data is only going to increase and simultaneously, the need for this software is going to rise only.
In 2018, the global Big Data and business analytics market stood at US$ 169 billion and by 2022, it is predicted to grow to US$ 274 billion. Moreover, a PwC report predicts that by 2020, there will be around 2.7 million job postings in Data Science and Analytics in the US alone.
And the engineers who can fill that need are going to be very few because of one crucial limitation: MapReduce is a computational model that is used for writing applications running in Hadoop. Ask one of your batchmates if they know how to write in MapReduce and you would draw a blank with regards to the name only. Skilled engineers in the Analytics department would also be hard to come by. And yet, the market is only expanding as the graph below depicts:
You can have one of the following profiles. The salary figures are representative of the Indian subcontinent:
The main task would be to develop Hadoop technologies using Java, HQL, and scripting languages. Offered salary is between INR 5-10 LPA
The one who plans and designs the Big Data architecture. he/ she serves as the head of the project and manage development and deployment across Hadoop applications. The salary range is INR 9-11 LPA.
Once the application is ready, the tester tests it for any errors and fixes bugs, broken code snippets, etc. The proffered salary is between INR 5-10 LPA.
S/he installs and monitors the Hadoop clusters using monitoring tools like Nagios, Ganglia, etc. salary varies between INR 10-15 LPA.
Using big data tools and statistical techniques, a data scientist solves business-related problems and plays a crucial role in determining the direction of the organization. The salary range is between INR 10-15 LPA.
Companies hiring Hadoop professionals
Any company in search of a Big Data or Analytics professional is going to want someone who is good at using Hadoop. You can look for job opportunities in one of the following companies:
- OCBC bank
Almost every industry is in need of a Hadoop professional since all companies are looking to process and profit from the sea of available data. E-commerce, finance, insurance, IT, healthcare are some of the starting points.
Hadoop is a technology of the future. Sure, it might not be an integral part of the curriculum, but it is and will be an integral part of the workings of an organization. So, waste no time in catching this wave; a prosperous and fulfilling career awaits you at the end of the time. Good luck!
If you are interested to know more about Big Data, check out our PG Diploma in Software Development Specialization in Big Data program which is designed for working professionals and provides 7+ case studies & projects, covers 14 programming languages & tools, practical hands-on workshops, more than 400 hours of rigorous learning & job placement assistance with top firms.