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Big Data is the dataset that is beyond the ability of current data processing technology (J. Chen et al., 2013; Riahi & Riahi, 2018). The revenue models of media and advertising is largely dependent on programmatic advertising. The characteristics of Big Data are commonly referred to as the four Vs: Volume of Big Data. All these years, programmatic advertising has been done on a random manner, with the hope that customers will like what is shown to them. #1: Volume Volume is probably the best known characteristic of big data; this is no surprise, considering more than 90 percent of all today's data was created in the past couple of years. Watch this Big Data vs Hadoop tutorial! Walmart, one of the Big Data companies, is currently the biggest retailer in the world with maximum revenue. Big Data observes and tracks what happens from various sources which include business transactions, social media and information from machine-to-machine or sensor data. Let’s look at some such industries: 1) Healthcare. The people who’re using Big Data know better that, what is Big Data. Who is using Big Data? The threshold at which organizations enter into the big data realm differs, depending on the capabilities of the users and their tools. 5. Big data plays a critical role in all areas of human endevour. Moreover big data volume is increasing day by day due to creation of new websites, emails, registration of domains, tweets etc. Effective Ad Targeting. Big Data facilitates zeroing in on the right content that such audience will prefer. 3 Vs of Big Data : Big Data is the combination of these three factors; High-volume, High-Velocity and High-Variety. Following are the benefits or advantages of Big Data: Big data analysis derives innovative solutions. A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional database systems. The volume of data refers to the size of the data sets that need to be analyzed and processed, which are now frequently larger than terabytes and petabytes. Volume. Big Data refers to large sets of complex data, both structured and unstructured which traditional processing techniques and/or algorithm s a re unab le to operate on. Because of the velocity, variety, and volume of big data, security and privacy issues are magnified, which results in the traditional protection mechanisms for structured small scale data are inadequate for big data. The current amount of data can actually be quite staggering. How did Big Data help in driving Walmart’s performance? The amount of data in banking sectors is skyrocketing every second. Big data is a blanket term for the non-traditional strategies and technologies needed to gather, organize, process, and gather insights from large datasets. This creates large volumes of data. Velocity: the rate at which new data is being generated all thanks to our dependence on the internet, sensors, machine-to-machine data is also important to parse Big Data in a timely manner. Introduction. Sensitivities around big data security and privacy are a hurdle that organizations need to overcome. Big data analysis helps in understanding and targeting customers. Conveniently, these properties each start with v as well, so let's discuss the 10 Vs of big data. Big Data in Banking Sector. Volume: the amount of data that businesses can collect is really enormous and hence the volume of the data becomes a critical factor in Big Data analytics. Big Data has already started to create a huge difference in the healthcare sector. Benefits or advantages of Big Data. According to GDC prognosis, this data is estimated to grow 700% by 2020. study and analysis of big data can help detect - The misuse of credit cards 5 Applications. 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