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Have you ever wondered about the dawn of the modern smartphone legacy? It all began back in the millennia when Nokia's Symbian OS and Microsoft's Windows Mobile gained traction in the mainstream market. Since then, the smartphone industry grew at exponential rates. Almost 96% of people use cellphones of some kind in the US, while 81% use smartphones. These smartphones are home to countless apps downloaded from the relevant app store. These applications absorb a lot of data from their users. According to research, roughly around two quintillion bytes (2x106 bytes) of data are generated each day. To access and make sense of such massive data, an unique data management tool is required. This is where Big Data analytics comes into the picture. In this blog, we will learn in-depth about Big Data and how it impacts mobile app development. What is Big Data? Big data refers to the chunk of data collected by mobile apps or loT tools that is so huge, fast, and complicated that it is practically impossible to analyze using traditional methods. In conventional data analysis, the focus was usually on the study of historical data. However, Big Data analytics is a technology that processes massive, complex real-time data to derive meaningful business insights. As Big Data is concerned with the analysis of real-time data, speed is the crucial factor here. Few popular companies that leverage Big Data are: Walmart - Used data mining for providing product recommendations to its customers Netflix - Used Big Datafo a for predicting customer recommendations. British Airways - Used Big Data for personalized offers. US Xpress - Leveraged Big Data for enhancing productivity and optimal fleet management. But, how can you use Big Data for your next mobile app development project? Let's find out