5 Questions
What is the difference between structured and unstructured data?
Structured data has a physical structure, while unstructured data does not
What is the cycle of Big Data Analytics?
Capture, Organize, Integrate, Analyze, Decide & Act
Which of the following is not one of the 3 V's of Big Data?
Value
What does Hadoop do?
Distribute storage and processing
What is semi-structured data?
Data without a physical structure, but with descriptions of the logical structure written in a formal language
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.
Test your knowledge on the fundamentals of Big Data and its three V's: Volume, Velocity, and Variety. This quiz will cover topics such as the cycle of Big Data analytics, technology convergence, and the role of Hadoop in storing and processing data. Challenge yourself and see how well you understand the key concepts of Big Data!
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