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

Test Bank For Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 1-11 All Included Latest Update Contents Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 2 Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 30 Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling 59 Chapter 4 Descriptive Analytics II: Bu...

Big data volume of available data is huge. data keeps growing at staggering rate. data comes from variety of sources in totally different formats Scalable data processing allows database processing systems to cope with the _______, ________, and _________ aspects that big data brings into the system volume, velocity, variety Best data processing system for operational workload (bank, online store, etc) Relational DBMS (Centralized, distributed) Unstructured data (highly available syst...

MIST final exam Correct Questions What is the Von Neumann architecture and what are some of its characteristics? - ANSWER It is a stored program concept that came about in the 50's and 60's. - It is the structure of the modern computer - structure evolves over time Discuss network architecture and what it entails? - ANSWER - interconnected computers - network architectures were propriety - specialized equipment - star architecute evolved into the current hub and spoke model Wha...

Big data and hadoop Test Studyguide ...

True & False The objective of SOL performance tuning on the client side is to generate an SOL query that returns the correct answer in the least amount of time, using the maximum amount of resources on the server side All database transactions must display at least the properties of Atomicity, consistency, convenience, and isolation Database recovery techniques are based on the isolation transaction property which indicate that the data used during execution of a transaction cannot...

Big Data IS4205 Questions and Answers Rated A+ Big data is defined as is defined as high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. What are the 4 V's of Big Data? Volume, velocity, variety and veracity (uncertainty of data quality) Byte 8 bits Big Data Analytics is defined as A general term that covers the analysis services associated with managing and utiliz...

Big Data Questions and Answers Rated A+ What do you know about the term "Big Data"? Big Data is a term associated with complex and large datasets. A relational database cannot handle big data, and that's why special tools and methods are used to perform operations on a vast collection of data. Big data enables companies to understand their business better and helps them derive meaningful information from the unstructured and raw data collected on a regular basis. Big data also allow...

BUSA 245 final exam review Quiz 1,2,3,4,5,6,7,8,9,10,11 Latest Update Graded A+ What is the primary purpose of an operating system? A) To provide a graphical interface B) To manage hardware resources C) To facilitate user interaction with the computer D) To execute application software Which of the following best describes a compiler? A) A program that executes code line by line B) A program that translates high-level code into machine code C) A program that manages system resou...

Data Wrangling, Hadoop and Spark, Big Data Strategy, Data Lakes Midterm 1 Exam Latest Update...

Information Management - Answer-application of management techniques to collect information, communicate it within and outside the organization, and process it to enable managers to make quicker and better decisions. Machine Learning - Answer-the science of getting computers to act and learn without being explicitly programmed AI - Answer-artificial intelligence; a collection of machine learning algorithms with a central unit deciding which of the ML algorithms need to kick in at what time...