Podcast
Questions and Answers
What are the three main characteristics of big data according to Gartner?
What are the three main characteristics of big data according to Gartner?
What percentage of big data does unstructured data collectively account for?
What percentage of big data does unstructured data collectively account for?
What are examples of human-generated data?
What are examples of human-generated data?
What is the term and technology used for a collection of data sets that are difficult to process using traditional data processing applications?
What is the term and technology used for a collection of data sets that are difficult to process using traditional data processing applications?
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What are the challenges associated with big data?
What are the challenges associated with big data?
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What are the three main characteristics of big data according to Gartner?
What are the three main characteristics of big data according to Gartner?
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What percentage of big data does unstructured data collectively account for?
What percentage of big data does unstructured data collectively account for?
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What is the term and technology used for a collection of data sets that are difficult to process using traditional data processing applications?
What is the term and technology used for a collection of data sets that are difficult to process using traditional data processing applications?
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What are examples of human-generated data?
What are examples of human-generated data?
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What makes big data 'big' according to the classic definition?
What makes big data 'big' according to the classic definition?
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Study Notes
Big Data Characteristics
- Big data has three main characteristics according to Gartner: high volume, high velocity, and high variety.
Data Types
- Unstructured data collectively accounts for 80% of big data.
- Examples of human-generated data include social media posts, emails, and text messages.
Data Processing
- The term and technology used for a collection of data sets that are difficult to process using traditional data processing applications is Big Data.
- Big Data refers to the large and complex sets of data that are difficult to process using traditional data processing tools and methods.
Challenges and Definition
- The challenges associated with big data include capture, storage, search, sharing, analytics, and visualization.
- What makes big data 'big' according to the classic definition is that it exceeds the processing capabilities of traditional data processing tools and methods.
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Description
Test your knowledge of the fundamentals of big data with this quiz. Explore the origins of data and its various classifications, including structured, semi-structured, unstructured, human-generated, and machine-generated data. Sharpen your understanding of where data comes from and its diverse forms in today's digital landscape.
