Atharv Gyan

Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision- making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data analysis often employs statistical and mathematical methods, but it also includes techniques such as machine learning and artificial intelligence. The goal of data analysis is to extract knowledge from data in order to make better decisions. Data analysis is a rapidly growing field, driven by the increasing availability of data and the development of new data analysis techniques. The future of data analysis is bright, with the potential to revolutionize many industries. What is Data Analysis? Data analysis is the process of extracting knowledge from data. It involves collecting, cleaning, organizing, and analyzing data to ide

  Introduction MongoDB Atlas, which launched in June of 2016, is a battle-tested database-as-a-service platform (DBaaS) artfully designed and built by the same team that created and continues to nurture and grow  MongoDB . MongoDB Atlas is a true blessing to the development community; it provides all of the features of its database counterpart, without the operation and heavy lifting normally required when building new applications, letting you focus on what you do best. One of the most convenient parts about MongoDB Atlas is that it is available on-demand through a pay-as-you-go model and billed on an hourly basis, meaning you don’t have to worry about monthly subscriptions or paying for things you don’t use. Sound intriguing? Let’s jump in! Getting Started MongoDB Atlas features a minimalistic interface that makes it dead simple to get up and running. Simply select your instance size, instance region, and any features you need; Atlas will provision the instance accordingly and provid