If you are wondering what the buzz about Big Data is and whether you should make a career transition to a Big Data environment, you are already on the right track. Big Data adoption is gaining momentum with real-time data generated in huge volumes, carving ever-new career paths and driving demand for Big Data courses.
The Big Data buzzword has been around for some time. It is part of the data ecosystem in organizations handling large and complex data sets. As data streams are generated in huge volumes in real-time, it requires efficiency in data management and the ability to work with Big Data software frameworks. Mastering big data skills and technologies like Hadoop and MongoDB, data visualization, data mining, Apache Spark, Data Structure and Algorithms are critical to the Big Data learning curve.
Data is at the core of every organization and government department. Huge volumes of data are processed for decision-making and business survival. Big Data is thus mission-critical in the digital transformation of businesses, and those who are keen to improve their employable skills, do so with the best Big Data courses.
The Rising Popularity Of Big Data
The 2020 pandemic has build preparedness for a crisis, with up-to-date data for alerts and forecasts, as we have seen in the healthcare industry and e-commerce. According to an earlier industry report, the global Big Data market size was expected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025, at a CAGR of 10.6%. The COVID-19 crisis gave further impetus to Big Data adoption, and the revised projection estimates the market to reach USD243.4 Billion by 2027 growing at a CAGR of 19.4% over the analysis period 2020-2027.
The rising popularity of Big Data has further reinforced the value of Big Data for insights and policy revisions. So organizations are quick to ramp up hiring and in-workforce upskilling to meet the increased demand for Big Data skills.
Why learn big data?
Big Data has transformed almost every industry, and as a result, impacted the recruitment strategy – how employers hire, and the way candidates look for jobs.
Here are some ways Big Data has affected the job market and created a demand for Big Data learning.
1. Data has become more accessible:
With an increase in the use of mobile devices, businesses have access to more and more data streaming at high speeds and in real-time. Much of this data is unusable till it is cleaned and housed in flexible storage environments. This is where Big Data skills come to play.
2. The rapid growth of the Big Data Market:
With more industries becoming data-guzzlers, the global Big Data market is growing exponentially, opening additional revenue generation streams. The expanding market has generated multiple career paths and job roles in Big Data.
3. Increased Automation of business processes:
Business automation integrates Big Data pipelines for end-to-end business optimization. Big Data ingestion combined with analytics forms the mainstay of decision frameworks, creating a demand for Big Data know-how.
4. Competitive Advantage:
Big Data empowers data-driven decisions for a business edge. Companies gain a competitive advantage with better pricing, marketing plans, sales, and returns on investment. This has ramped up predictive hiring in the Big Data space.
5. High demand for Clean Data:
The data from multiple sources is unstructured, cluttered, and of poor quality. It slows down processing and retrieval, costing huge resources to companies. Cleaning and storing of Big Data are on the rise, stepping up the demand for highly developed Big Data skills.
6. Applications across most Industries:
Big Data finds applications across industries like e-commerce, banking and finance, communications, logistics, manufacturing, healthcare, transport, maritime, and more. The wide range of domain-specific applications requires IT professionals to hone their knowledge of Big Data handling techniques.
7. A Multidisciplinary Job Roles:
Big Data is an area of expertise with multidisciplinary job roles, depending upon the organization’s size, industry type, position in the data hierarchy, nature of the business, and the level of Big Data analytics adoption for solving business problems. This offers the Big Data learner a choice from a wide variety of job roles: data extraction, developing database solutions, data management projects, reporting, business solutions, and so on.
8. Opportunities for lateral Growth:
While Big Data certification looks good on resumes, it also offers opportunities for lateral transition and career breaks. Big Data courses open up windows of career streams in related Big Data fields, like Big Data Analytics, Big Data administration, Big Data-as-a-service, Modelling, Recommendations, and more.
9. Best career move:
With organizations adopting Big Data in their ecosystem, the demand for competent professionals remains high. The shortage of Big Data skills cannot be met entirely with the training of an existing workforce, as the demand exceeds the supply. So there is continuous new hiring of Big Data professionals, which creates opportunities for immense career growth. A Big Data certification becomes a must-do to map a career in the IT and data science industry. Domain knowledge and experience can be matched with Big Data skills for exclusive job roles and asking salaries.
10. Steep Salaries:
While the demand for Big Data professionals is on the rise, the supply remains low. The talent deficit has made Big Data one of the highest paying positions in the job market. Professionals in this field can expect job roles with impressive salaries.
Summary
Data technologies evolve continuously, making Big Data learning a wise choice for an IT or data professional who wants to be ahead of the job scene curve.
At the end of the day, a standalone IT degree does not suffice. In the race to secure a good salary in data science or data analytics jobs, a gradual scale-up of Big Data learning can give you a head start in the data science journey. Whether you are a graduate or a working IT professional, if you are keen on making a mark in a data-driven high-computing environment, add to your learning. Enroll in a Big Data course for 2021. Learn the necessary technologies and Big Data processing techniques. Watch your career take-off.