Top Reasons to Choose Big Data as a Future Career

Confused whether to take up a career in Big Data or not? Just spend a few minutes reading this article and you will get enough reasons that you are making a smart choice by selecting your career in Big Data.

Why Big Data?

Companies these days generate an enormous amount of data irrespective of which industries they belong to and there is a need to store the data so that they can process it and not miss out any information which can lead to the success of the company.

With the use of Big Data platforms, an enormous amount of data can be processed to find out patterns, missing trends which would help the company in making better decisions which would help them to grow and to help them to create values for their products and services.

Why Choose a Career in Big Data?

1. High need for Big Data Analytics

The amount of data generated per year is increasing at the exponential rate. Eric Schmidt said, “There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days”. Another analytics said that “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”

Hence the need for professionals with experience in the field of analytics is in huge demand as organizations are looking to benefit themselves from the power of big data.

2. Salary Aspects

High demand for big data analytics skills is boosting the wages for qualified professionals and making Big Data pay huge money for the correct skills.

A look at the salary trend for Big Data analytics in Uk also indicates positive and exponential growth. A search on Itjobswatch.co.uk shows a median salary of £81,750 in present for Big Data Analytics jobs, as compared to £63,750 in the same period in 2016, which shows the growth of 28.24% change in a year.

3. Better Profile

Data scientists are considered to be rare qualities that are very much in demand these days. In this competitive market, they are difficult to hire and for the service they provide, they are difficult to retain. The various job titles are as follows:

• Big Data Analytics Architect
• Big Data Engineer
• Big Data Analyst
• Big Data Solution Architect
• Analytics Associate

4. Enterprise Adoption of Big Data

A survey by Deloitte, Technology in the Mid-Market; Perspectives and Priorities, reports that executives clearly see the value of analytics. Based on the survey, 65.2% of respondents are using some form of analytics that is helping their business needs.

Pros:

• The salaries and payouts globally are better than other jobs.
• Big Data applications are demand for trained personnel shows tremendous growth.
• Job score is unending since the data generation is growing exponentially.
• Most verticals and industries, a whopping 77%, are switching tracks to use Big Data.

Cons:

• Your skills need to be of practical nature and constantly updated to keep pace with evolving technology.

Conclusion

Analytics no matter how advanced they do not remove the need for human insights. On the contrary, there is a compelling need for skilled people with the ability to understand data, think from the business point of view and come up with insights. For this very reason, technology professionals with Analytics skill are finding themselves in high demand as businesses look to harness the power of Big Data.