This study source was downloaded by 100000867488176 from CourseHero.com on 06-04-2023 14:30:10 GMT -05:00https://www.coursehero.com/file/198386156/Week-10-BI-Assignmentdocx/ 1Week 10 BI Assignment ,Aoun Haider, The University of Cumberlands, Business Intelligence,(ITS-531-M40)Dr. Abiodun Adeleke (Abbey)3/13/2023This study source was downloaded by 100000867488176 from CourseHero.com on 06-04-2023 14:30:10 GMT -05:00https://www.coursehero.com/file/198386156/Week-10-BI-Assignmentdocx/2DQ1Big Data is a span used to describe data sets which are too large or complex for traditional data processing applications to handle. It is usually characterized by three V's: Volume, Variety and Velocity. Volume refers to the considerable size of the data sets, Variety refers to the wide range of data types and sources, and Velocity denotes to the swiftness at which the data is made and processed (Sharda et al., 2021). Big Data is essential because it allows organizations to make better decisions by providing insights and trends that traditional data processing tools cannot detect. It can also uncover patterns and correlations in massive data sets, leading to new discoveries and innovations. Big Data is also beneficial for predictive analytics, which allows organizations to anticipate the future and make better decisions. Big Data comes from various sources, including social media, web and mobile applications, sensors and devices, and customer databases. It is generated from various activities, from