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.
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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.
In-Demand Software Development Skills
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 Advanced Certificate Programme in Big Data from IIIT Bangalore.
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Why should you learn Hadoop technology?
Hadoop can help discover solutions to problems linked with Big Data. Therefore, it is safe to say that Hadoop opens all options that lead to solving Big Data problems. Nowadays, industries are spending an exorbitant amount of money managing their analytics team. Hadoop has its ecosystem, which consists of plenty of tools that can be used to drive analytics. Some of these tools are MapReduce, Hive, and Pig. For every company to get to the bottom of the business logic, there is a constant call for Hadoop. Regardless of how big a company is, they always need Hadoop, especially to amp up its revenue streams. As an individual seeking to get into the nitty-gritty of the technology sector, Hadoop acts as the stepping stone.
What are the prerequisites for learning Hadoop?
Hadoop uses Java and runs on Linux. Thus, it goes without saying that if you are interested to learn Hadoop, Java, and Linux are the initial doors to knock on. In addition to getting familiar with the Java programming language, you must also learn all Linux commands. Big Data uses Hadoop as one of its frameworks very often. However, there are other tools and technologies present today apart from Hadoop that Big Data uses. You can get extensive knowledge of languages such as Hive, which do not require Java. But overall, it is always an added advantage to know the basic programs in Java, which will help you in the future.
Is doing a Hadoop certification or course helpful?
Currently, there are plenty of online channels and tutorials that can be assessed to acquire knowledge of any technology. Alternatively, one can also opt for Hadoop analytical courses taught by industry experts. The era is full of competition, and beating others in certain skills becomes straightforward if your ground is strong. Moreover, with online institutions and online tutorials opening up, certification courses are also an efficient way to showcase your skill in the industry.