The Big Data ERA

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

• Data Science +

  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 through which data can be used by organizations to make 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.
• Data Research and Analysis +

  Big Data Analysts model and analyze huge chunks of data in sync with their objectives by using their skills in mining, researching and analyzing data on specialized statistical and mathematical analytics tools.

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

• Data Engineering and Development +

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

  They use their skills in programming and software testing to work on popular Big Data platforms such as Hadoop and Spark, and also have knowledge about domain and analytics tools and techniques.

• Data Architecture +

  Despite the fact that Data Architects have been around for some time now, it can be argued that they are only now entering 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 the career of a Data Architect.

  They combine 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 to cluster, segregate, distribute, mobilize, and transfer Big Data among various stakeholders.

• Data Administration +

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

  Big Data Administrators utilize their knowledge, experience, and skills in server administration, security, network planning along with their exposure to data management processes. They 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.