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WorksheetsData Analytics and Knowledge
Total questions: 13
Worksheet time: 7mins
What is the purpose of data analytics?
To generate raw data
To clean and format data
To make sense of data and produce information
To retrieve structured data
What is the DIKW model used for?
To clean and check the validity of input data
To understand the evolution of data analytics
To turn raw data into useful information, knowledge, and wisdom
To apply machine learning and deep learning in data analytics
What are the three articles in the 'How data becomes knowledge' series?
From data to knowledge, Data lakes and data swamps, Extracting dark data
Data sources, Structured and unstructured data, Data mining tools
Cognitive processing, Machine learning, Deep learning
Data analytics, Data governance, Data lakes
What is a major source of machine-generated and real-time data?
Traditional relational database
Internet of Things (IoT) devices
Scraped websites and social media
Human interactions over digital media
Which type of data is more challenging for computers to understand?
Structured data
Unstructured data
Machine-generated data
Relational data
What makes processing structured data with computers easy and efficient?
High degree of organization
Machine-readable structure
Efficient querying
Human-centric processes
What is a disadvantage of human-centric processes in dealing with unstructured data?
Time-consuming and energy expensive
Lack of machine-readable structure
Efficient retrieval and processing
High degree of organization
What is the main focus of the DIKW model?
Cleaning and formatting data
Extracting information from diverse media formats
Turning raw data into useful information, knowledge, and wisdom
Applying machine learning and deep learning in data analytics
What are the challenges of processing unstructured data?
Time-consuming and energy expensive
Lack of machine-readable structure
Efficient retrieval and processing
High degree of organization
What is the main focus of data cleaning and formatting?
Extracting information from diverse media formats
Turning raw data into useful information, knowledge, and wisdom
Applying machine learning and deep learning in data analytics
Cleaning and formatting data
What is a disadvantage of machine-generated and real-time data?
Traditional relational database
Internet of Things (IoT) devices
Scraped websites and social media
Human interactions over digital media
What is the advantage of structured data for computers?
High degree of organization
Machine-readable structure
Efficient querying
Human-centric processes
What is the purpose of data analytics?
To generate raw data
To clean and format data
To make sense of data and produce information
To retrieve structured data
