Why Learn Big Data? 5 amazing benefits of Big Data Career
You might have heard about the popular buzzword – “Big Data“. People are crazily talking about it and started learning big data as it has been one of the most controversial concepts in the past few years. DataFlair’s article will tell you the exact reasons why you should learn Big Data. Let’s start this with the increasing demand for Big data Professionals.
Demand for Big Data Professionals
To motivate you to learn Big Data, it is important to show the demand for big data professionals in the IT industry. One of the interesting things about Big Data is how fast it is evolving. You may not have realized that even when you are sleeping you are generating data through your smartphones and computers.
So can you imagine, how much data is there in the world as a whole? Around a trillion petabytes, nearly uncountable.
Know the reasons why Big Data is gaining hype
Few questions generally arise when we talk about the density of data.
- Who makes use of this much data?
- Who are the ones analyzing it?
- What is required to analyze it?
The one-line answer to the above questions is- A large amount of data that is generated is analyzed by various Big Data professionals such as Data Scientists, Architects, and Engineers by using different Big Data techniques and skills.
Therefore, the demand for Big Data professionals with a skill set is on the rise. On the other hand, the supply remains low which creates great job opportunities for individuals within this field.
As stated by Forbes, Data Scientists, and Data Analysts are the fastest-growing job roles which are about to increase sharply by 28% by 2020.
‘Data Scientist is the sexiest job of the 21st century as confirmed by none other than Harvard Business Review.’
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Why Learn Big Data?
In light of the above line, the following reasons can be your motivation to learn Big Data from today:
1. High salaries
With the increasing amount of growing data, the demand for Big Data professionals such as Data Analysts, Data Scientist, Data Architect and many more is also increasing. Companies like Amazon, Google, Facebook, Microsoft, etc are paying a pretty amount of money to their Big Data professionals to work on their customer data.
Don’t forget to check the Career and Job Roles in Big Data
According to Glassdoor, the average salary of a big data engineer is Rs 729,359/yr in India.
2. Big Data is used in every industry
Data professionals are not restricted to work for just a few industry segments but their contribution is for all kind of industry verticals. You can work in any of the domains like finance, manufacturing, information technology, communications, retail, logistics, and automobiles. Each industry uses Big Data for taking a competitive advantage and making data driven decisions. So, this is the right time to choose Big Data as the next career option. For helping you, DataFlair has launched Big Data training courses designed by industry veterans.
Don’t waste more time, Enroll now for the Best Online Big Data Course
3. Skill enhancement
Learning Big Data can be your best investment and can reward you with skills that you require not only working for big data but in your day to day life. In general, the domain of Big Data Analytics is full of unsolved problems and puzzles to solve, which can greatly enhance your analytical skills and reasoning. Big Data involves statistics and problem-solving skills which are useful and highly practical for you even if you don’t intend to make a career in Big Data.
4. Provides competitive advantage
One of the key abilities of Big Data is to make data-driven decisions. Data-driven decision making refers to the practice of making decisions on the analysis of data rather than purely on intuition. Instead of making a decision as per past experiences, the decision is based on possible future trends. Now, it is possible to know which product and service will be successful in the market, proving an advantage to be first to market.
5. Better career opportunities
With the increase in the datasets across the universe, the demand for Big data analytics is very hot. According to estimates, the data will further grow to zettabytes in 2025. This means the need for Data Scientist, Data Engineer, and Data Analysts will also increase well in the future. Data Analysts will play a bigger and bigger role in the world. So, if you want to be a Big Data Analyst, Big Data Engineer, Data Scientist, then it is the time to start learning from a good institute like DataFlair to set your career.
6. Exponential growth of Big Data market
As mentioned earlier, the Big Data market is predicted to grow exponentially across the world and it shows no signs of swiftness down within the long haul. In step with NASSCOM, the Indian Big Data analytics sector is expected to grow to achieve USD 16billion by 2025 from the present level of USD 2billion. With the increasing penetration of sensible devices at intervals villages and remote areas, the Big Data data revolution can still surge.
Read amazing case study of Big Data at Flipkart
Skills required to learn Big Data
While learning about Big Data, you must be aware of the different skills you are required to learn. These are the skills of Big Data that are highly in demand-
Programming languages including Java, Python, and C++
- Apache Hadoop
- Apache Spark
- Machine Learning
- Data Mining
- Data Visualization
- SQL and NoSQL databases
- Data Structure and Algorithms
According to Forbes, Data Science Analytics professionals with MapReduce skills are earning $115,907 a year on average, making it a most in-demand skill. These professionals with expertise in Apache Pig, Hive, and Hadoop are competing for jobs paying over $100,000.
The above-mentioned skills will be in your hands when you will start learning all about Big Data. Check out the exclusive Big Data, Hadoop and Spark Training Course.
Big Data Job Roles
Now let’s take a look at the job roles that you should consider to make it big in the field of Big Data.
Data Engineer is a link between Data Scientists and business executives. They are responsible for communicating data scientists about business goals so that they can work accordingly to achieve the objectives. Data Engineer also handles a vast amount of raw data and evaluate new data sources.
The problem solver who analyzes data systems, creates automated systems to retrieve information from the database and compile reports is the Data Analyst.
The work of a data scientist is to analyze the raw data which can be structured and unstructured to derive information which is used by business leaders to take important decisions impacting business growth.
Those members of the Big Data team who understand all the aspects of database design are Data Architects. They collaborate with big data engineers to create data workflows and are responsible for designing and testing new database prototypes.
After knowing about all the reasons to learn Big Data, the skills associated with it, and the big data job roles, you can conclude how important it is to bring Big Data in your lives.
Big Data can be your secret to get ahead in your career.
So now you need to start with it by taking up a competent big data training and gain the right skills. Then you can climb up the ladder faster and make your career grow at rocket speed as a Big Data professionals!
Start now with exclusive Big Data Courses by DataFlair.