Big Data Chapter 6

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Questions and Answers

What is the primary characteristic of unstructured data?

Requires less storage

Can be displayed in rows and columns

No pre-defined structure (correct)

Clearly defined and searchable

What is Big Data primarily used for?

Protecting legacy solutions

Mining information and advanced analytics (correct)

Storing and managing small datasets

Creating relational databases

What is a significant challenge concerning Big Data?

Handling small datasets

Increasing data volume and speed of creation (correct)

Lack of traditional database software

Easy management and protection with legacy solutions

What is a characteristic of structured data?

Clearly defined and searchable Signup and view all the answers

What is the estimated productivity benefit for businesses using data?

$430 billion Signup and view all the answers

What is a growing trend in Big Data management?

Appointing a Chief Data Officer (CDO) Signup and view all the answers

What is the primary reason for the growing importance of Big Data?

Significant amount of useful knowledge is hidden in Big Data Signup and view all the answers

What is a defining characteristic of Big Data in terms of size?

Datasets in sizes exceeding terabytes Signup and view all the answers

What is the main principle behind big data?

The more data you have, the better you can predict future outcomes. Signup and view all the answers

What is the primary goal of big data analytics?

To make better decisions using hidden relationships in data Signup and view all the answers

What is data mining?

A deep analysis of data to extract knowledge, patterns, and information Signup and view all the answers

What is machine learning in the context of big data?

Designing systems that can learn and improve from data Signup and view all the answers

What is veracity in the context of big data's 3V's?

The trustworthiness of data Signup and view all the answers

What is an example of a big data application?

Optimizing business operations for increased efficiency Signup and view all the answers

What is a component of big data system architecture?

Real-time message ingestion Signup and view all the answers

What is a characteristic of big data?

High velocity of data generation Signup and view all the answers

Which of the following is NOT a challenge of Big Data Visualization?

High storage capacity Signup and view all the answers

What is the main advantage of using Big Data in Education?

Analyzing student data and improving grading systems Signup and view all the answers

Which of the following is an application of Big Data?

Improving Sports Performance Signup and view all the answers

What is Viscosity in the context of Big Data?

Refers to the resistance when navigating through a data collection Signup and view all the answers

Which of the following is a disadvantage of using Big Data?

Security and privacy Signup and view all the answers

Which of the following is an area that employs Big Data?

Healthcare Signup and view all the answers

What is the main advantage of using Big Data in Government?

Used for cybersecurity (including fraud detection) and catching tax evaders Signup and view all the answers

Study Notes

Big Data

Big Data refers to large volumes of structured, semi-structured, and unstructured data used for mining information and advanced analytics.

Data Types

Unstructured data: has no pre-defined structure, examples include images, text files, videos, and audio files, difficult to manage and protect, requires more storage.
Structured data: clearly defined and searchable, can be displayed in rows, columns, and relational databases, examples include tables in spreadsheets, requires less storage, easier to manage and protect.

Characteristics of Big Data

3Vs: Volume (massive amount of data), Variety (different types of data), Velocity (speed at which data is generated, collected, and analyzed)
6Vs: adds Veracity (trustworthiness of data), Value (business value of data), and Variability (ways in which Big Data can be used and formatted)
8Vs: adds Viscosity (resistance when navigating through a data collection) and Visualization (different ways of representing data)

Big Data Process

Building models based on collected data
Running simulations with those models
Adjusting data points and monitoring how it affects results

Big Data Applications

Predicts customer behavior and buying patterns with high accuracy
Optimizes business operations for increased efficiency
Revolutionizes various industries across the business world
Applications include: understanding and targeting customers, understanding and optimizing business processes, personal quantification and performance optimization, and more

Big Data System Architecture

Data sources
Data storage
Batch processing
Machine learning
Real-time message ingestion
Stream processing
Analytical data store
Analytics and reporting

Big Data Terminologies

Data Mining: deep analysis of data to extract knowledge, patterns, and information
Data Analytics: focused process involving data collection, preparation, and delivery of valuable insights for businesses
Machine Learning: designing systems that can learn and improve from data

Challenges and Disadvantages

Technical limitations
Complex data representation
Difficulty in visualizing complex relationships between many variables
Chances of failure
Correlation errors
Incompatible tools
Security and privacy concerns (data privacy, data security, data discrimination)

Advantages

Cost cutting
Increased productivity
Better decision-making
Fraud detection
Control online reputation

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Description

This quiz covers various aspects of Big Data, including its characteristics, types, and challenges. Learn about structured, semi-structured, and unstructured data, and their applications.