The Big Data ERA

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

• Data Scientist +

  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.
• Big 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.

• Big 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.

• Big Data Architecture +

  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 advancing 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.

• Big Data Administration +

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

  Big Data Administrators use their knowledge, experience, and skills in server administration, security, and 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.

• Business Intelligence Analysis +

  Business intelligence analysts, commonly referred to as BI analysts, employ information and data to support organizations in making wise business decisions. They collect, clean, and, analyze data about a business's revenue, sales, market data, or customer engagement indicators. Additionally, BI analysts may be asked to program tools and data models to assist with data visualization or monitoring. A crucial component of a BI analyst's job is identifying patterns or other features in the data that point to potential opportunities for improving business procedures.

• Data Modeling +

  Data modelers design and manage data systems that are architecturally sound enough to support the organization's goals. In most cases, they will be working with other big data professionals like data scientists and database administrators to model critical data and information that will play an essential role in the organization’s decision-making and customer experience processes.

  Additionally, data modelers will be responsible for understanding the way core data is used and supporting all organizational stakeholders and operations, including its products, customers, and staff.