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AIS CHAPTER 5 Questions and Answers Graded A+ R221,61   Add to cart
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AIS CHAPTER 5 Questions and Answers Graded A+
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AIS CHAPTER 5 Questions and Answers Graded A+ Big Data massive amounts of data they now capture, store, and analyze Data Volume amount of data created and stored by an organization Data velocity pace at which data is created and stored Data Variety different forms data can...

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  • August 4, 2024
  • 4
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • ais chapter 5 questions and answers graded a
  • big data massive amounts of data they now capture
  • data volume amount of data created and stored by a
  • data velocity pace at which data is created and st

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AIS CHAPTER 5 Questions and Answers
Graded A+
Big Data - answer massive amounts of data they now capture, store, and analyze

Data Volume - answer amount of data created and stored by an organization

Data velocity - answer pace at which data is created and stored

Data Variety - answer different forms data can take

Data veracity - answer quality or trustworthiness of data

Mindset - answer mental attitude, a way of thinking, or frame of mind

Analytics Mindset - answer A way of thinking that centers on the correct use of data
and analysis for decision making

The right questions establish objectives that are SMART: define - answer Specific
Measurable
Achievable
Relevant
Timely

ETL Process - answer A set of procedures for blending data. The acronym stands for
extract, transform, and load data.

One of the reasons the ETL process can be so time-consuming is that the process
typically differs for - answer every different program, database, or system that stores
or uses data. This results in numerous instances of exporting data from one program or
system, transforming the data into a format another program or system can use, and
then loading the transformed data into the second program or system.

Before extracting data, data needs to be __ __ - answer carefully defined

After defining data the next step is to understand - answer the data itself, which
entails understanding things like location, accessibility, and structure of the data

Structured Data - answer Data that is highly organized and fits into fixed fields.

Examples of structured data - answer accounting data like a general ledger, data in a
relational database, and most types of spreadsheet data

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