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Questions and Answers
What is the difference between structured and unstructured data?
What is the difference between structured and unstructured data?
- Structured data is generated by humans, while unstructured data is generated by machines
- Structured data is processed in real-time, while unstructured data is processed in batches
- Structured data has a physical structure, while unstructured data does not (correct)
- Structured data has a formal language, while unstructured data does not
What is the cycle of Big Data Analytics?
What is the cycle of Big Data Analytics?
- Gather, Sort, Combine, Evaluate, Execute
- Collect, Store, Process, Interpret, Implement
- Extract, Transform, Load, Analyze, Visualize
- Capture, Organize, Integrate, Analyze, Decide & Act (correct)
Which of the following is not one of the 3 V's of Big Data?
Which of the following is not one of the 3 V's of Big Data?
- Variety
- Velocity
- Value (correct)
- Volume
What does Hadoop do?
What does Hadoop do?
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What is semi-structured data?
What is semi-structured data?
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Study Notes
Types of Data
- Structured Data: Highly organized and formatted data that can be easily stored and searched in a database, such as relational databases or spreadsheets.
- Unstructured Data: Unorganized and unformatted data that does not fit into a predefined format, such as images, videos, and audio files.
- Semi-Structured Data: A mix of structured and unstructured data, having some level of organization, but not conforming to a rigid format, such as XML files or JSON data.
Big Data Analytics Cycle
- The cycle of Big Data Analytics consists of five stages: Data Ingestion, Data Storage, Data Processing, Data Analysis, and Data Visualization.
The 3 V's of Big Data
- The 3 V's of Big Data are Volume, Velocity, and Variety.
- Volume refers to the large amounts of data generated.
- Velocity refers to the high speed at which data is generated and processed.
- Variety refers to the different types of data generated.
Hadoop
- Hadoop is a Big Data processing tool that enables the storage and processing of large datasets across a cluster of computers.
- Hadoop is designed to handle the Volume, Velocity, and Variety of Big Data.
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