"Big Data" refers to a huge volume of data of various types, i.e., structured, semistructured, and unstructured. This data is generated through various digital channels such as mobile, Internet, social media, e-commerce websites, etc. Big Data has proven to be of great use since its inception, as companies started realizing its importance for various business purposes. Now that the companies have started deciphering this data, they have witnessed exponential growth over the years.
Data Science deals with the slicing and dicing of the big chunks of data, as well as finding insightful patterns and trends from them using technology, mathematics, and statistical techniques. Data Scientists are responsible for uncovering the facts hidden in the complex web of unstructured data so as to be used in making business decisions. Data Scientists perform the aforementioned job by developing heuristic algorithms and models that can be used in the future for significant purposes. This amalgamation of technology and concepts makes Data Science a potential field for lucrative career opportunities.
Data Analytics seeks to provide operational insights into complex business situations. Looking into the historical data from a modern perspective, finding new and challenging business scenarios and applying methodologies to find a better solution are the prime concerns of a Data Analyst. Not only this, but a Data Analyst also predicts the upcoming opportunities which the company can exploit.