Data Types and Analytics Overview
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Questions and Answers

Structured data makes up more than 20 percent of the total data landscape.

False

Unstructured data can be stored in a row-column database format.

False

Recent advancements in artificial intelligence have improved the ability to analyze unstructured data.

True

Examples of structured data include social media posts and emails.

<p>False</p> Signup and view all the answers

Data analytics methodologies primarily deal with structured data and do not encompass unstructured data.

<p>False</p> Signup and view all the answers

Unstructured data always lacks any form of structured information.

<p>False</p> Signup and view all the answers

Data analytics solely focuses on the analysis of pre-existing datasets.

<p>False</p> Signup and view all the answers

In manufacturing, data analytics can enhance process analysis through the use of sensors.

<p>True</p> Signup and view all the answers

Sentiment analysis is a statistical method used to evaluate logical fallacies in customer reviews.

<p>False</p> Signup and view all the answers

Geo tagging is an example of metadata that can be included with unstructured data, like digital images.

<p>True</p> Signup and view all the answers

Location-based marketing irrelevantly targets consumers regardless of their previous purchase behavior.

<p>False</p> Signup and view all the answers

Real-time data processing is not applicable in logistics and supply chain management.

<p>False</p> Signup and view all the answers

Data tagging provides a framework that helps in organizing and retrieving unstructured data effectively.

<p>True</p> Signup and view all the answers

Semi-structured data fully adheres to the strict structure of relational databases.

<p>False</p> Signup and view all the answers

RFID readings are considered unstructured data.

<p>True</p> Signup and view all the answers

Utility billing records are an example of structured data.

<p>False</p> Signup and view all the answers

Text files are a type of structured data.

<p>False</p> Signup and view all the answers

Telecommunications call detail records classify as structured data due to their fixed format.

<p>True</p> Signup and view all the answers

Metadata plays a role in the organization of semi-structured data.

<p>True</p> Signup and view all the answers

Healthcare claims are classified as unstructured data.

<p>False</p> Signup and view all the answers

Real-time data processing is unnecessary for most data analytics applications.

<p>False</p> Signup and view all the answers

Study Notes

Data Types

  • Structured Data is organized into a row-column format, often used in relational databases
  • Unstructured Data is not organized in a predefined format and lacks a data model
    • Examples include email messages, multimedia content, social media posts, and machine-to-machine communications
  • Semi-structured Data combines features of both structured and unstructured data
    • Examples include email correspondence, telecommunications records, and electronic medical records

Data Analytics

  • A comprehensive field utilizing analytical methods to extract information from data
  • Involves data analysis, collection methodologies, and storage frameworks

Big Data

  • 3Vs refer to volume, velocity, and variety of data, characterizing the Big Data environment
  • Structured Data accounts for less than 20% of total data
  • Unstructured Data constitutes the majority of data
    • Previously disregarded but now processed using artificial intelligence and machine learning

Examples of Structured Data

  • Financial data, accounting transactions
  • Address details, demographic information
  • Customer ratings, machine logs
  • Location data from smart devices

Industry Examples of Unstructured Data

  • Retail
    • Cross-selling promotions
    • Targeted location-based marketing
    • Sentiment analysis of customer reviews
  • Manufacturing and Logistics
    • Real-time supply chain information
    • Process analysis using sensors
    • Logistics optimization
    • Predictive maintenance
    • Supply chain optimization

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Description

This quiz covers the fundamental concepts of data types including structured, unstructured, and semi-structured data. Additionally, it explores the principles of data analytics and the characteristics of Big Data, focusing on its three V's. Test your understanding of these essential topics in data science.

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