Big data and hadoop - Study guides, Class notes & Summaries

Using data to understand customers/clients and business operations to sustain and foster growth and profitability is A. easier with the advent of BI and Big Data. B. now completely automated with no human intervention required. C. essentially the same now as it has always been. D. an increasingly challenging task for today's enterprises. correct answers D. an increasingly challenging task for today's enterprises. Which of the following sources is likely to produce Big Data the fastest? ...

______ is a traditional approach and has established best practices. It is more commonly found in onpremises environments since it was around before cloud platforms. It is a process that involves a lot o data movement, which is something you want to avoid on the cloud if possible due to its resourceintensive nature. - ETL ________ seems similar to ETL at first glance but is better suited to big data scenarios since it leverages the scalability and flexibility of MPP engines like Azure Synapse...

The 3Vs in the definition of Big Data stand for: A: Volume, Value, Veracity B: Volume, Variety, Value C: Volume, Variety, Velocity - correct answer C: Volume, Variety, Velocity The four stages in Big Data adoption identified by the 2012 IBM/University of Oxford report DO NOT include: A: Educate B: Expect C: Engage D: Execute - correct answer B: Expect The main sponsor(s) in the "Execute" stage of big...

Big Data Questions and Answers Already Passed What is Big Data? Big data is a term which is used to describe any data set that is so large and complex that it is difficult to process using traditional applications. T/F: Big Data is an objective term? False. Describe at least three sources of Big Data. Archives, Machine logs, Public Web, Sensor Data, Social Media State and explain the characteristics of Big Data: Volume The vast amount of data that must be dealt with. State a...

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) - Answer-2.5 Quintillion Why is Big Data important? (MT/IBM Study) - Answer--Top-performing organizations use analytics five times more ofte...

Big Data Exam 1 Questions With Verified Answers What is Big Data? -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) 2.5 Quintillion Why is Big Data important? (MT/IBM Study) -Top-performing organizations use...

True or false, sources of dat are becoming larger and more diverse True, Billions or even trillions of data sources What is the goal of data processing? To extract data that is useful Why is the volume of data that is available so large? Increasing number of data sources (social media, wearable tech, sensors, cameras, etc), formats, and data points How much data is possibly generated in a day? A petabyte (1 million GB) What is scalable data processing? Allows database processing systems ...

What is Big Data? - Answer-Big data is a term which is used to describe any data set that is so large and complex that it is difficult to process using traditional applications. T/F: Big Data is an objective term? - Answer-False. Describe at least three sources of Big Data. - Answer-Archives, Machine logs, Public Web, Sensor Data, Social Media State and explain the characteristics of Big Data: Volume - Answer-The vast amount of data that must be dealt with. State and explain the character...

Revature Big Data week 3 Linux and hadoop Exam ...

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling 1) To respond to the market challenges, SiriusXM decided to focus on production efficiency. Answer: FALSE Diff: 1 Page Ref: 147 2) Data is the contextualization of information, also called "information set in context." Answer: FALSE Diff: 1 Page Ref: 151 3) Data is the main...