Big Data and Hadoop Career has emerged as trending career option. The advantages of Big Data analytics have finally been recognised by businesses. It aided them in gaining greater business insights, allowing them to make better decisions. As businesses become more interested in Big Data, Hadoop is being used to analyse it.
Let us dive deeper into Big Data and Hadoop Career Paths!
Know about Big Data and Hadoop
As businesses become more interested in Big Data, Hadoop is being used to analyse it. As a result, the demand for Big Data and Hadoop jobs is fast increasing. If someone is interested in data analysis and wishes to pursue a career in this sector, now is the time to begin learning Hadoop and Spark. This will always give you an excellent start, whether you are a novice or a seasoned professional. Professionals who can work with Big Data are in high demand.
Hadoop is a system that allows customers to store all of their large data in a distributed setting. This feature allows big data to be stored in a distributed environment and analysed in parallel. Parallel data processing not only provides a speedier approach to manage all of the massive data sets, but it also provides flexibility, which has long been absent in traditional big data processing approaches.
Required Skills
There are no such “skills,” and no specialised background is required to pursue a career in Hadoop or big data. With that said, there are a few things you should know to make your journey to being a Hadoop expert a little easier. So, if you’ve worked with any Linux-based operating system before, you’ll have a leg up on the competition when it comes to understanding Hadoop.
Similarly, any past experience of programming languages such as Scala, Python, or Java can let you write your first MapReduce programme in a variety of languages and perform parallel processing using the Hadoop storage (HDFS) architecture. Any SQL expertise will have you understanding Hadoop ecosystems like Hive, Pig, and others in no time. If you’re familiar with databases like NoSQL, you’ll have no trouble writing and working with the HBase database.
Career opportunities
The banking and finance industry – The use of big data, and hence the Hadoop architecture, in the financial banking sector provides for early detection of fraud and security breaches. Big data is essential for detecting fraud, tracking audit trails, and reporting credit card risk in the company. The information gathered from the consumer is transformed and meticulously evaluated in order to deliver greater insights and improve decision-making capability.
Sector of Media, Communication, and Entertainment – This domain’s data is kept, processed, and utilised to construct the recommender engines that you see on sites like Amazon and Netflix. This industry also makes use of data from numerous social media networks. This social data might then be utilised to conduct sentiment analysis on events such as a Wimbledon match or Lionel Messi’s departure from Barcelona.
Sector of education – In the school industry, Hadoop offers a plethora of career options. We’re only able to scratch the surface of the enormous impact that big data could have on students and education.
Transportation Sector – Self-driving cars, which have been heralded as the future of transportation, are nothing more than an automobile that steers itself using Big Data. The data from all of the many sensors installed on the car is input into a mathematical model, which produces the desired output. Not only that, but the location data collected by these social networking sites, as well as data from high-speed telecom, has been leveraged to change the entire transportation sector.
Sector of Energy and Utilities – It is predicted that roughly 60% of the present energy system will need to be replaced by the end of this decade. People have just just begun to accept smart metres as standard. These smart metres provide the user with additional control and insight into how they are consuming electricity.
Market Demand and Average Salary
As a result, large organisations in the United Kingdom, such as Explore Group, BBC, and Eames Consulting Group, pay Hadoop developers an average of 50 Great British Pounds. As a result, the average Hadoop professional income in the United Kingdom is between 66,250 and 66,750 Great British pounds. Meanwhile, in the United States, the typical salary for Hadoop professionals is between 95k and 102k US dollars (according to indeed.com). In India, a Hadoop Developer’s salary is typically in the range of 4-6 lakhs Indian Rupees. In the well-known corporation Tata Consultancy Services, a Java and Hadoop developer earns roughly 677-735 thousand INR on average.
Resources for Big Data and Hadoop
Before you can become an expert in desired areas, you must first build a solid base. Before you can move on to practical teaching, you’ll need to have the right applied skills. To gain a full understanding of the domain, you can use the following tools:
- Firstly, Online Tutorials for Big Data and Hadoop
- Also, Certification Courses from verified sources such as Vskills, Coursera, Udemy and so on.
- In addition, Online communities
- Moreover, Blogs and study material from experts in this field and many more.
Here are some examples of how you can improve your abilities:
- Freelancing
- Internships
- Apprenticeship programs
The above steps will help you to get this domain started. It’s a long way to go, however. You can take an advanced course to reach a new level of skills.
Some resources offered by Vskills
Vskills offer Big Data and Hadoop certification for all those interested in working in this field. This certification course covers the following topics –
- Big Data
- Apache Hadoop
- HDFS
- MapReduce
- YARN
- Pig
- Hbase
- Sqoop and Flume
- Hive
- Workflow
- Hadoop Cluster Management
- Administration
- Security
- NextGen Hadoop
Vskills also offers free practice tests and online tutorials to supplement the learning process. You can check them by clicking on the following links –
Discover the career opportunities and other prospects of career in Big Data and Hadoop. Hurry up and start preparing now with Vskills.in!
