To inspire you to understand Big Data, it’s critical to demonstrate the IT industry’s requirement for ample data expertise. One of the fascinating aspects of Big Data is its rapid evolution.
You may be unaware that your cell phones and laptops are producing data even while you sleep.
When we discuss data density, a few common questions occur.
- Who makes use of this volume of information?
- Who is doing the analysis?
- What is necessary to do the analysis?
The one-line response to the above questions is as follows: A vast quantity of data is created and evaluated by various Big Data specialists such as Data Scientists, Architects, and Engineers utilizing a variety of Big Data methodologies and talents.
As a result, demand for Big Data specialists with a diverse skill set is increasing. On the other hand, supply remains limited, resulting in excellent career possibilities for those working in this industry.
In light of the above sentence, the following reasons may serve as an incentive for you to begin learning Big Data today:
Consider the Following Reasons for Pursuing an AI Fresher jobs
As the volume of data grows, so does the need for Big Data experts such as Data Analysts, Data Scientists, and Data Architects, among others. For example, Amazon, Google, Facebook, and Microsoft pay a hefty sum to their Big Data pros to work on their consumer data.
According to a very reputable source, the average annual compensation for a Big Data Engineer in India is ₹820,000.
The following are some pay statistics:
An entry-level Big Data Engineer earns around ₹466,265 per year. A Big Data Engineer in their early career or a Junior Big Data Engineer with less than four years of experience earns an average of ₹722,721 a year. A salary of 1,264,555 per year for a mid-career Big Data Engineer or Lead Big Data Engineer (5–9 years of experience). In India, the average compensation for a Senior Big Data Engineer is 1,681,640 rupees per year.
Every industry is now taking advantage of big data:
Data experts are not limited to a few industry sectors; instead, they contribute to all industry verticals. You may work in various industries, including banking, manufacturing, information technology, communications, retail, logistics, and vehicles.
For example, According to statistics, the banking industry creates an unprecedented amount of data. In 2021, the quantity of data created per second in the financial sector increased 700%.
Every sector uses Big Data to gain a competitive edge and make data-driven choices. Thus, now is the ideal moment to pursue Big Data or Data Science as a professional path. There are many online free as well as cost effective resources that can get you quickly onboard on a Big data or Data Science career path.
The vast majority of big data is created by three sources: social data, machine data, and transactional data.
Enhancement of abilities:
Learning Big Data technologies or Data Science might be the most acceptable investment you make, as it will provide you with skills that you will need not just in the field of big data but also in your daily life. By and large, the realm of Big Data Analytics is replete with unresolved issues and riddles to answer, which may significantly improve your analytical and reasoning abilities.
Big Data entails statistics and problem-solving abilities that are beneficial and highly applicable to you even if you are not interested in pursuing a job in Big Data.
It gives you a competitive edge:
Making data-driven judgments is a critical capability of Big Data. Data-driven decision-making is the process of making choices based on data analysis rather than on intuition alone. Rather than judging based on prior experiences, the decision is made in light of potential future patterns.
Now, it is feasible to predict which products and services will succeed on the market, demonstrating the value of being first to market.
Improved job prospects:
With the growth of information across the universe, the need for Big data analytics is skyrocketing. According to projections, data will continue to expand, reaching zettabytes by 2025. This indicates that the demand for Data Scientists, Data Engineers, and Data Analysts will continue to grow. Data analysts will continue to play a growing role in the globe.
India’s increase of 50,700 jobs in December 2021 accounted for approximately 25.5 percent of the nation’s total employment growth of 199,000 for the month. The state has already recovered about 72%, or 1,946,200, of the 2,714,800 employment lost in March and April 2020 as a result of the COVID-19 epidemic.
Therefore, if you want to pursue a career as a Big Data Analyst, Big Data Engineer, or Data Scientist, now is the time to begin studying at a reputable institution such as Data Flair.
After learning about the many reasons to master Big Data, the accompanying skills, and the associated career responsibilities, you can see how critical it is to incorporate it into your daily life.
The Data Science or Big data developer jobs may be the key to advancing your career.