Data Science and Big Data are visibly identical worlds but differ on various parameters. Understanding this differentiator calls for in-depth research of the two arenas of work. Where on the one side, data science is about asking the right questions, extracting insights, and communicating discoveries. On the other side, big data is the whopping data that consists of information that the organizations have acquired over time. Big data dwells on volume, velocity, variety, and veracity.
IDC predicts 120 zettabytes of data were created by the previous year; that is expected to reach up to 181 zettabytes by 2025. These statistics are critical to infer big business transitions for the long term. Gartner also shares that 70% of the world’s data is user-generated. It brings the spotlight to the data revelations.
To understand the key variations between big data and data science, it is essential to master a popular data science certification from a renowned credential provider worldwide. This will not only enhance your clarity on the topic but also enable you to master futuristic data science skills in a self-paced manner.
USDSI® is your go-to option when thinking of earning the best data science certifications. This document is a great revelation of the diversities the two streams possess; as well as comprehending real-world examples in industries such as retail, finance, healthcare, etc. Make the most of this opportunity and download to master the core differences between big data and data science for a thriving career trajectory ahead.
Download to unravel now!
This website uses cookies to enhance website functionalities and improve your online experience. By clicking Accept or continue browsing this website, you agree to our use of cookies as outlined in our privacy policy.
