Our world is getting flooded by the enormous data produced on an ongoing basis and enterprises are constantly baffled regarding how to utilize this data productively. As more and more companies are turning themselves into data-driven entities, information becomes the most valuable asset for them. But the quantity of unstructured data is posing multiple challenges to the companies. However, with the advent of Big data analytics, and NoSQL databases the critical task of analyzing and interpreting that unstructured data has become possible.
Profile |
Hadoop Developer |
Hadoop Admin |
Hadoop Architect |
Salary |
$100,000 |
$123,000 |
$ 172,000 |
Work |
Build & Design applications |
Systems administrator for Hadoop |
Manage the complete life cycle of the Hadoop solution |
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According to a report from IBM on Big data and analytics, “When compared to companies that rely on traditional analytics alone, organizations that implemented big data and analytics pilot projects or deployments are 15% more likely to report a significant advantage from their information assets and analytics.”
It clearly explains the reason why a professional should have the knowledge of Big Data in order to excel in his career in analytics. However, some of the reasons to take up a Big Data career are explained below:
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Big Data Career Equals Handsome Salary
As described above, a shortfall in the required skill set has caused companies to hire the professionals at a higher pay. The companies are investing more and more to hire the right persons to handle their data. General Electric, for example, is planning to spend more than $2 billion to recruit the data analysts having the knowledge of Big Data and its tools.
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High Demand for Big Data Qualified Professionals
As per today’s market scenario, Big data has not only remained a technological concept for an organisation, but it is a revenue-generating aspect, through which the firms are looking forward to surviving the cut-throat competition over a longer period of time. The giants of analytics are investing a substantial amount in hiring the skill-set of professionals to deal with the huge amount of data on a constant basis. Therefore, having adequate knowledge about Big Data will definitely qualify a professional to become a specialist in data analytics.
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Big Data Career: A bigger domain to rise higher
Slowly and gradually, Big data is coming out of the area of technology and spreading its wings across a range of domains like research and development, strategic management, marketing, and sales, etc. It specifies that the need for analytics is not limited solely to IT, but is a growing requirement of many other areas where the data analytics did not step its foot yet. Henceforth, along with the IT professionals, marketers, sales persons and researchers can also make their careers in this emerging field.
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Bridging the skill gap
Though the market is craving for the analyst, but there is a significant deficit between the required and existing number of professionals. However, this gap is supposed to further increase in coming years.
According to McKinsey Global Institute, “US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.”
Therefore, a huge number of analysts are required to fill this skill deficiency in the industry, which turns out to be a great provision for the aspiring professionals to make their career in this area.
Big Data is the need of the hour
The companies are gradually realizing that data analytics is beneficial for them not only in the IT operations, but also in daily activities. As data is becoming a critical asset for the firms day-by-day, it is becoming more important for them to utilise it in most possible ways to churn out the revenue. Therefore, Big data has become one of the most prioritized analytical tools for the firms to generate, explore and come up with positively surprising outcomes. This in turn has led professionals to go for Big data career to take their careers to a new height.
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Increased use of Big Data Analytics
The industry giants like IBM are increasingly using Big data analytics to design innovative concepts and models. Various meaningful insights gained with the help of Big Data allow the organisations to identify their prospective customers and serve them in a better way. Not only this, Big Data gives a competitive advantage to the firms by helping them find new revenue opportunities by identifying the patterns of complex data. This exponential growth in analytics and intelligence makes it important for the professional to have in-depth knowledge about Big data.
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Ample opportunities in analytics
The roles in the technology of Big data is not limited to one or two job roles, but it expands its framework encompassing vivid job roles suitable for different professional capacities, depending upon their skills. Some of the prime job responsibilities offered in Big Data deployment are as follows:
- Big Data Analytics Business Consultant
- Big Data Analytics Architect
- Big Data Engineer
- Big Data Solution Architect
- Big Data Analyst
- Analytics Associate
- Business Intelligence and Analytics Consultant
- Metrics and Analytics Specialist
Hence, it is not a responsibility of an individual to tackle the data single-handedly but is a collective effort including the knowledge of various expert professionals that make the Big data framework effective. This drops a clear hint that having analytical skills of various degree in Big data can make your careers successful in this domain.
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