Big Data 6.2 Review Questions with Verified Solutions

Big Data 6.2 Review Questions with Verified Solutions 1. Why is Big Data important? What has changed to put it in the center of the analytics world? As more and more data becomes available in various forms and fashions, timely processing of the data with traditional means becomes impractical. The exponential growth, availability, and use of information, both structured and unstructured, brings Big Data to the center of the analytics world. Pushing the boundaries of data analytics uncovers new insights and opportunities for the use of Big Data. 2. How do you define Big Data? Why is it difficult to define? a. means different things to people with different backgrounds and interests, which is one reason it is hard to define. b.Traditionally, the term "Big Data" has been used to describe the massive volumes of data analyzed by huge organizations such as Google or research science projects at NASA. des both structured and unstructured data, and it comes from everywhere: data sources include Web logs, RFID, GPS systems, sensor networks, social networks, Internet-based text documents, Internet search indexes, detailed call records, to name just a few. just about volume, but also variety, velocity, veracity, and value proposition. Out of the Vs that are used to define Big Data, in your opinion, which one is the most important? Why? a. value proposition is probably the most important for decision makers' "big" data in that it contains (or has a greater potential to contain) more patterns and interesting anomalies than "small" data. b. by analyzing large and feature rich data, organizations can gain greater business value that they may not have otherwise. While users can detect the patterns in small data sets using simple statistical and machine-learning methods or ad hoc query and reporting tools, c. Big Data means "big" analytics. Big analytics means greater insight and better decisions, something that every organization needs nowadays. What do you think the future of Big Data will be like? Will it lose its popularity to something else? If so, what will it be? a. Big Data could evolve at a rapid pace. b. The buzzword "Big Data" might change to something else, but the trend toward increased computing capabilities, analytics methodologies, and data management of high volume heterogeneous information will continue.