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Careers in Big Data/data-science-certifications/careers-in-big-data

Careers in Big Data

The DASCA view of the rapidly changing and expanding Big Data career landscape serve as clear, loud hints on how professionals, employers, and educators should prepare themselves for leveraging the phenomenal Big Data promise.

A range of Big Data professions have emerged in the last ten years to help global data factories rebuild themselves into producers of Business Intelligence for corporations, government agencies, and other organizations. Though at their core, all the technical Big Data professions still retain their traditional flavor, the methods and the tools of managing data have changed dramatically – as the scale, complexity, volume, velocity, and variety of data keep exploding through the roof – both, confounding, and exciting decision-makers at the same time.

The transformation of data into Big Data has not only added to the complexity of conventional data jobs, it has also generated new categories of interdisciplinary roles – and spawned an era of several new Big Data career tracks – many of these demand multi–dimensional competence.

The following are the most important Big Data career tracks to have emerged in the last decade:

Big Data Science

Big Data Science

Big Data Scientists blend their knowledge, experience, and insights on business, marketing, specialist subjects, and management with their expertise in research and statistics to explore, define, and innovate ways how data can be used by organizations for making progressively more accurate, meaningful, and real–time decisions.

They also architect the analytics ecosystem required to convert petabytes of Big Data into solid chunks of Business Intelligence for corporations and governments.

More than 10% of the total global demand of 5 million Big Data professionals by 2017 is for Big Data Scientists.

Big Data Research & Analysis

Big Data Analysts model and analyze huge chunks of data in sync with desired objectives using their skills of mining, research, and analysis of data on specialist statistical and mathematical analytics tools.

They deploy their knowledge and understanding of business and management fundamentals to generate insights out of their analysis.

More than 60% of the total global demand of 5 million Big Data professionals by 2017 is for Big Data Analysts.

Big Data Research & Analysis
Big Data Engineering & Development

Big Data Engineering & Development

Big Data Developers/ Engineers design, code, program, and build specialist software applications used in handling and managing Big Data.

They use their skills in programming and software testing etc., to work on popular Big Data platforms like Hadoop and Spark, and are also required to have knowledge about business basics and analytics tools and techniques.

Around 500k Big Data Engineers would be needed worldwide by 2017 according to a conservative DASCA estimate.

Big Data Architecting

Despite the fact Data Architects have been around for a couple of years, they are now quickly entering probably the most lucrative phase of their career.

Big Data Architects do all the essential planning, and coordinate data resources in an organization. Knowing about application architecture acts as a plus point to advance in the career of Data Architect.

They blend their experience, skills, and expert knowledge about data systems with their exposure to data management processes and data analytics to help build the infrastructure required for clustering, segregation, distribution, mobility, and transfer of Big Data among various stakeholders.

Around 5% of the total global demand of 5 million Big Data professionals by 2017 is for Big Data Architects.

Big Data Architecting
Big Data Administration

Big Data Administration

Big Data Administrators are responsible for erecting, managing, and maintaining the infrastructure and ecosystem of a Big Data management set up.

They blend their knowledge, experience, and skills on server administration, security, network planning with their exposure to data management processes to also handle clustering, segregation, distribution, mobility, and transfer of inbound and throughput data to ensure data keeps reaching intended points without disruption, contamination, and risk.

Approximately 300k Big Data Administrators are required worldwide in 2017, if we are to leverage the Big Data promise to its fullest.

The other tracks are those of Data Management, Data Visualization, NoSQL management, and Data Warehousing management.
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