Big Data Exam 1 Questions With Verified Answers

Big Data Exam 1 Questions With Verified Answers What is Big Data? - answer-A collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications (Hadoop) -A buzzword/catch-phrase used to describe a massive volume of both structured and unstructured data How many bytes of data are produced yearly? (IBM) - answer2.5 Quintillion Why is Big Data important? (MT/IBM Study) - answer-Top-performing organizations use analytics five times more often than lower performers Why is Big Data important? (MT/IBM Study) - answer-50% of the respondents said that improvement of info and analytics was a top priority for them Why is Big Data important? (MT/IBM Study) - answer-20% said they were under intense pressure to adopt advanced info and analytics approaches Sports Analytics - answer-How to predict run or pass? decision tree -The coach- Heat Map Zone Analysis for passing plays -Trainer squat test What are three factors that might be part of a PM for season ticket renewals? - answerData factors may include survey responses, pricing models, and customer tweets. What are two techniques that football teams can use to do opponent analysis? - answerIn the example provided, opponent analytics was evaluated using the coach's annotated game film to produce an analysis evaluating whether to build a cascaded decision tree model on play prediction, heat maps of passing offenses, and time series analytics on explosive plays. How can wearables improve player health and safety? What kinds of new analytics can trainers use? - answerWearables can help to identify levels and variation in core body strength, mobile devices worn during play can record data on hits to assist in concussion protocols, and sleeps sensors can identify how rested players are. What other analytics applications can you envision in sports? - answerpossibly tracking performance over time or location Changing Business Environments and Evolving Needs for Decision Support and Analytics - answer-Increased hardware, software, and network capabilities -Group communication and collaboration -Improved data management-text, sound, graphics, video -Managing giant data warehouses and Big Data -Analytical support -Overcoming cognitive limits in processing and storing information -Knowledge management-vast stores of info about everything! How do we manage, arrange, store and retrieve it? -Anywhere, anytime support Definition of BI (Business intelligence) - answer-BI is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodology Definition of BI (Business intelligence) - answer-BI is a context-free expression, so it means different things to different people Definition of BI (Business intelligence) - answer-BI's major objective is to enable easy access to and (and to improve business managers with the ability do conduct analysis) Definition of BI (Business intelligence) - answer-BI helps transform data, to information (and knowledge), to decisions and finally actions Online Transaction Processing (OLTP) - answer-Operational Databases -ERP, SCM, CRM -Goal: Data Capture *think: TP captures attention; operational Online Analytical Processing (OLAP) - answer-Data Warehouses -Goal: Decision Support *think: LAPdance in the warehouse What is the relationship between OLTP and OLAP? - answer? OLTP systems are optimized for: - answerInputs like inserts, updates, deletes in the database *TP is in