Let us explore the world of data by finding out the differences and relationships between Data Science, Big Data, and Data Analytics in this detailed Infographic and see what each of these has to offer. Data Science helps us use raw data and build models that could help in data-driven decision-making, whereas data analytics is the internal process that facilitates building data science models. Finally, big data is the fuel that powers data science.
This is the basic difference. But when it comes to tools used, job roles, and processes, there are many differences between these broad terms.
As the world of data science is growing rapidly, and data is exploding, the demand for data science professionals who can assist in handling, processing, and analyzing data is also soaring high. So, in this Infographic, we explain the core differences that will help you plan your data science career in a clear and concise manner. Check out the Infographic and get a deep understanding of what is Data Science, Big Data, and Data Analytics.
