Data Science Automation For Big Data and IoT Environments

Data science sits at the core of any analytical exercise conducted on a big data or Internet of Things (IoT) environment. Data science involves a wide array of technologies, business, and machine-learning algorithms. The purpose of data science is not only to do machine learning or statistical analysis, but also to derive insights out of the data that a user with no statistics knowledge can understand. In a fast-paced environment such as big data and IoT, where the type of data might vary over the course of time, it becomes difficult to maintain and re-create the models each and every time. This gap calls for an automated way to manage the data-science algorithms in those environments.