With the advent of the "big data" era, the necessity for secure data storage has risen. To solve the problem of data storage, the main emphasis was on building a framework. The key ingredient is data science. Data Science is an interdisciplinary field that applies statistical methods, computer science, and other disciplines to raw data to conclude the world. Data is a crucial part of every business since it provides the information upon which wise business choices may be made. To deal with the growing volume of data, the interdisciplinary subject of data science emerged. It employs rigorous methods, protocols, algorithms, and frameworks from the scientific community to mine vast stores of data for useful information. Both structured and unstructured information may be extracted. To understand and analyse real-world events using data, a field known as "data science" has emerged to bring together concepts, data analysis, Machine Learning, and related methodologies. Data science is a term for a wide range of subfields within the study of data analysis. Data Science is a broad discipline that draws upon many disciplines' theories, practices, and tools, including but not limited to statistics, information science, mathematics, and computer science. Data scientists use many different methods, such as machine learning, data visualization, pattern recognition, probability modelling, signal processing, data engineering, etc.
