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10 years back, there was lack of knowledge & unawareness of technologies required to store and process Big Data. Hence, organisations developed various Big Data related technologies to store and analyse Big Data, and Hadoop is one of the pioneer technologies. To know how Data evolved as Big Data & how Hadoop emerged as the solution to the problems related to Big data, go through this What is Hadoop blog. Rise of new technologies lead to new career options as well. In this Hadoop career blog, I will guide you through the career path in Hadoop and other Big Data technologies.
Organisations have now realized the benefits of Big Data analytics. It helped them in getting better business insights, which enhanced their decision-making capabilities. As organisations are showing interest in Big Data and are adopting Hadoop to analyse it. Hence, the demand of jobs in Big Data and Hadoop is also rising rapidly. If someone is interested in analyzing data and wants to pursue his or her career in this field, for them now is the right time to start learning Hadoop and Spark. This would always give you a good start either as a fresher or experienced. There is a huge demand for professionals who can work on Big Data. Let me tell you about some predictions:
I would like you to go through this blog -> Why Big Data analytics is the best career move. Let us move on and understand the skills that might give you a head start in your upcoming Hadoop career.
I know the next thing which comes to your mind is about the skills required to learn Big Data & Hadoop. I would like to tell you that there is no such pre-requisite in learning Hadoop. But of course, Linux knowledge will give you head start while working with Hadoop. If you are from programming background and you know Java, Scala or Python, it would be easier for you to learn how to write a MapReduce program in different programming languages and execute parallel processing over HDFS (Hadoop storage). If you know SQL, you will get a head start in learning Hadoop ecosystem tools like Pig, Hive etc. Similarly, if you have worked with NoSQL databases you will feel comfortable in working with HBase. I would recommend you to go through this Hadoop Ecosystem blog to know various tools that are present in the Hadoop Ecosystem.
Market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Here are the few IT Professional groups, who are continuously enjoying the benefits of moving into Big data domain:
I would like to add this, if you are from an IT background or have an idea about IT, it is very easy for you to learn Hadoop.
You can learn various tools based on your comfort, experience and interest as we discussed in the skills required. Few popular Big data job titles are:
Based on your former profile and interest you can adopt any of the Big Data & Hadoop job profile. Moving to Big Data domain can be one of the best career moves for tech professionals because the Big Data is increasing at an accelerating rate and the opportunity is growing at a simultaneous rate, and this is ever growing field which will always be in demand. Refer to this 10 hottest tech skills blog which will give you an idea of hot technologies.
Now, moving ahead let us discuss about expected salary.
In United Kingdom, the Hadoop Developers hourly salary by some giants are:
Figure: Hadoop Career- Hadoop Salary Trend(itjobswatch.co.uk)
The average annual salary in United Kingdom is £66,250-£66,750 according to itjobswatch.co.uk & average annual salary for Hadoop jobs ranges between $92,512 to $102,679 for Hadoop developer, as per Indeed.com. In India, the average Hadoop Developer salary ranges from Rs. 4,05,880 to Rs. 5,825,000 based on your experience, as reported by Payscale.com. The average salary for Hadoop & Java Developer in TCS, India is ₹677k – ₹738k, according to Glassdoor.com. Cloudera Certification also gives you a stronger hand which can also lead to a significant increase in your salary.
Figure: Hadoop Career- Hadoop Job Vacancy Trend(itjobswatch.co.uk)
Similarly, the average yearly salary for Spark-related jobs is $92,512, as per Indeed.com. The average annual salary according to itjobswatch.co.uk, for Apache Spark Developer jobs in UK is £71,250. Capgemini, BBC, Vodafone, Teamware, HP, Tata Consultancy Services are some of the big giants who are looking for candidates with knowledge on Big Data & Hadoop.
So, this might have given you an idea about the salary in different regions. Let us also look at different domains where Big Data analytics are doing wonders. This will give you an idea that you might be from different domains, but Big Data analytics has it’s roots in all the domains.
You can even check out the details of Big Data with the Azure Data Engineering Training in Bangalore.
Let us take some examples of Big Data analytics in different domains.
Figure: Hadoop Career- Different Big Data Domains
It gives you early warning for securities fraud & trade visibility in Banking & Finance Sector. It helps in card fraud detection, audit trails & enterprise credit risk reporting. Customer data are transformed and analyzed for better insights & efficient decision making capabilities.
The SEC (U.S. Securities and Exchange Commission) is using Big Data to monitor financial market activity by using network analytics and Natural Language Processors. This helps to catch illegal trading activity in the financial markets.
In this domain, consumer data is collected, analyzed and utilized to make better predictions and recommendations to the customers. It leverages mobile and social media content. For an example, Wimbledon Championships leverages big data to deliver detailed sentiment analysis on the tennis matches to users in real-time. You can even check out the details of Big Data with the Azure Data Engineer.
The rising medical costs, unavailability of data and unusable data like patient history and disease case histories are archived and not analyzed due to unstructured format. You can analyze the healthcare data and treat your patients accordingly based on previous case histories. You can also identify the disease that is common in a particular areas, so prevention can be taken and medicines can be made available to those areas.
The University of Florida used free public health data & Google Maps to create visual data that allows faster identification and efficient analysis of healthcare information.
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In education sector, we are trying to incorporate data from varied sources and then utilize that data for improving education sector. University of Tasmania with over 26000 students has deployed a Learning and Management System that tracks log time, time spent on different pages and the overall progress of a student over time.
There are lot of government schemes which are in execution and are generating data at a tremendous speed. Integration and inter-operability of Big data from different Government schemes will improve the efficiency of the schemes and will provide better outcomes.
The Food and Drug Administration(FDA) is using Big Data to detect and study patterns of food-related illness and diseases, allowing for faster treatment responses.
Data from location-based social networks and high speed data from telecoms have effected travel behavior. Transport demand models are based on new social media structures. Big Data Analytics in transportation will improve Traffic control, Route planning, Congestion Management system, Revenue Management, Technological Enhancements, etc.
60% of electricity grid assets will need replacement in this decade. Smart meters become main-stream, as consumers want more control & insights into energy consumption. Smart meter readers allow data to be collected in almost every 15 minutes. This data is used to analyze consumption of utilities better.
We have just discussed about some of the domains where Big Data analytics can do wonders. In each and every domain Big Data can be analyzed giving better insights.
I hope this blog was informative and added value to you. There is a huge scope of building a successful Hadoop career in almost every domain like Healthcare, Banking, Telecom, Social Media, Retail etc.
Explore more about Certifications in Big data, Check out this Big Data Certification blog for more clarification.
If you are interested to learn more, you can go through this case study which tells you how Big Data analytics is used in Healthcare domain and how Hadoop is revolutionizing healthcare analytics. So, What are you waiting for? Go ahead and start your journey towards building a bright career in Big Data & Hadoop.
Now that you have understood Big Data & Hadoop Career, check out the Hadoop training by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. The Edureka Big Data Hadoop Certification Training course helps learners become expert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.
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