Waiting for That Hike in Your Career? Big Data Is Your Answer

The Big Data industry is growing fast, with a projected valuation of 273.4 billion USD by 2026. Digital transformation, a sharp increase in data volume and increased data connectivity are the primary drivers of this growth. If you’re looking to build a career in the Big Data domain, you need to be aware of the duties associated with Big Data professionals.

Read on to learn more about Big Data, its functions, career paths, and how to enter the field.

What is Big Data?

Big Data is a term used to describe large or sophisticated data that is tough to process using conventional techniques. You can use this data to solve business problems that were impossible to solve before. But, how businesses use the data rather than how much they have is more significant. Insights from Big Data analysis help companies make better business decisions and strategic moves. Big Data is becoming prevalent across business sectors, including marketing, sales, and R&D.

The uses of Big Data

Data Analysts examine the relationship between various types of data to determine correlations.

Companies specialise in transforming Big Data into ingested formats to check such data. Businesses use such evaluations of Big Data to transform it into useful information.

Many businesses, including Meta (Facebook) and Alphabet, use Big Data to target users on social media to make money from advertising.

Almost all corporate sectors use data analysis, from marketing and sales to human resources and technology. Big Data aims to speed up the release of products into the market, cut down on the time and resources needed to reach target audiences, and guarantee customer satisfaction.

Why learn Big Data?

Here are a few reasons why it’s worth learning Big Data:

High salaries

With data volume increasing, the demand for Big Data specialists like Data Analysts, Data Scientists, Data Architects, and many others is rising.

Companies such as Amazon, Google, Meta, Microsoft, and others pay their Big Data specialists a hefty remuneration to work on their customer data.

The average salary of a Big Data Engineer is Rs 8.7 LPA in India.

Big Data provides a springboard for AI

Today, artificial intelligence (AI) is one of the most sought-after specialities in business. But most people are unaware that Big Data offers a "foundation" for AI initiatives. Most artificial intelligence systems use the same methods and processing power needed in Big Data companies. Thus, creating an organised Big Data environment beforehand is beneficial for companies that want to start using AI.

Big Data skills are in high demand

The demand for qualified Big Data professionals is rising, in line with Big Data's general trends. Demand currently exceeds supply, increasing pay for those with the necessary skill set. The need for Big Data specialists with this specific skill set is growing while the supply still needs to increase.

Big Data specialists are earning more money due to the rise in demand and the lack of available labour. Currently, data analytics specialists in India earn an average salary higher than their equivalents in other IT professions. Many businesses now realise the value these professionals bring, which is why this trend is evident everywhere.

Provides competitive advantage

Making data-driven decisions is one of Big Data's key capabilities. Data-driven decision-making is making decisions based on data analysis instead of intuition. Businesses make decisions on future trends rather than past experiences or past trends.

Better career opportunities

Big Data analytics is indispensable due to the expansion of datasets on a global scale. Forecasts show that data will increase to 180 zettabytes by the next five years up to 2025. This means there will be an increased demand for Data Scientists, Engineers, and Analysts. Data Analysts will become more and more critical in the world.

The exponential growth of the Big Data market

As mentioned earlier, the global Big Data market will expand over time and continue to grow in the long run. According to NASSCOM, the Indian Big Data analytics market will increase from its current USD 2 billion value to USD 16 billion by 2025. The Big Data revolution will increase as smart devices penetrate more remote locations.

Big Data job roles

Big Data is booming, with new opportunities for experts from all industries and backgrounds. This is the ideal time to join the job market because there is a growing need for Big Data professionals. A few in-demand and sought-after positions in this industry are as follows:

Big Data Engineer

Big Data Engineers turn large amounts of data into insights that businesses can use to make better decisions. These experts are responsible for creating a company's data architecture and testing and maintaining Big Data in businesses.

Data Architect

Data Architects create and maintain databases and frameworks for complex data. They develop strategies for each area of the data model and inform their company’s top management of their plans and progress. They are responsible for developing database solutions, assessing specifications, and producing design reports.

Database Manager

Database Managers create and maintain databases. They create systems for storing and retrieving data, troubleshooting databases, and putting safety precautions and database recovery processes into place. Database Managers also keep an eye on database teams' day-to-day operations.

Business Intelligence Analyst

Business Intelligence Analysts work with businesses and identify trends and predict problems using data. They also offer solutions and opportunities to improve. Their job is to boost the company's productivity, efficiency, and revenue.

Data Scientist

Data science is the most in-demand profession in Big Data. Data Scientists use their analytical and technical skills to create and build new methods for deriving meaning from data.

These specialists develop prototypes, algorithms, forecasting models, and unique analyses. They are in charge of gathering, processing, and managing information. It is necessary to have professional experience in a relevant area to be a Data Scientist.

Network Security Engineer

A Network Security Engineer configures firewalls and deploys, tests, and updates security software. Additionally, they maintain networked computers and take precautions to stop security lapses. A Network Security Engineer helps users and offers suggestions for improving network security.

Database Developer

Database Developers are in charge of designing and developing computer databases. They select the best database management system for a specific client, test database programmes, and debug and fix issues.

Data Analyst

A Data Analyst designs, develops and maintains databases and data structures alone or as a team. Additionally, they take the raw data out of primary and secondary sources. After that, they analyse the data and create illuminating reports by reorganising it into a readable format. Businesses use these data analyses to inform critical business decisions.

Database Administrator

A Database Administrator supervises the daily operation of databases and helps in development. They maintain them, organise data, control access, and guarantee data security. Database Administrators are also in charge of database upkeep and modification.

Technical Recruiter

A Technical Recruiter's primary responsibility is to locate qualified IT specialists to fill job vacancies in a company. They post job roles on recruitment websites and networking sites for professionals. Then they select applicants, invite them for interviews, and screen the application forms. They let the candidates know about selection, talk about pay and benefits, and help with onboarding.

Conclusion

Incorporating Big Data concepts and skills into undergraduate and postgraduate studies has become crucial to help candidates establish a foothold in the expanding industry. Now that you know the reasons to learn Big Data, the related skills, the Big Data jobs and how they will keep growing in the future, it’s time that you take the first step towards a Big Data career.

Big Data holds the key to helping you advance in your career. If you want to learn more about Big Data and are looking to pursue a holistic Big Data course, check Amity Online’s BCA with a specialisation in Data Analytics for more information.