Big Data and Big Data Analytics are terms used to describe the enormous amount of information that is produced daily in our contemporary digital environment. The term "big data" refers to massive, complex data volumes that are very challenging to handle and manage successfully when using traditional data processing methods. These data come from a wide range of sources, such as social media, sensors, online transactions, and more. On the other hand, big data analytics is the process of investigating and understanding these enormous databases in order to uncover crucial data, patterns, and trends. People use specialized tools and procedures to make sense of the data and turn it into knowledge that can be used to make better decisions and take the right actions. In this abstract, it is discussed how significant Big Data and Big Data Analytics are in modern culture. We talk about how businesses, governments, and organizations use these technologies to make wise decisions, deliver better services, and boost productivity. Big data analytics has several benefits, including a greater understanding of customer preferences, the identification of potential risks, and the prediction of future trends. Additionally, we go through issues with big data management, such as data privacy, security, and the need for sophisticated computing resources. The ethical concerns surrounding the use of big data are also underlined, with an emphasis on the need for responsible data usage to safeguard individuals' privacy and maintain confidence.