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Questions and Answers
What are the two types of data mentioned in the text?
What are examples of structured data mentioned in the text?
What is used for accessing structured data in RDBMS?
Which category of data has a pre-defined structure?
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What characterizes unstructured data?
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What contributes to the massive volume of data on the Internet, in addition to user-generated data?
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Study Notes
Types of Data
- Data is primarily categorized into structured and unstructured types.
Examples of Structured Data
- Examples include data organized in tables with rows and columns, such as databases, spreadsheets, and data warehouses.
Accessing Structured Data in RDBMS
- Structured Query Language (SQL) is utilized for accessing and managing structured data in Relational Database Management Systems (RDBMS).
Pre-defined Structure of Data
- Structured data is characterized by its pre-defined schema, which dictates how the data is organized, stored, and accessed.
Characteristics of Unstructured Data
- Unstructured data lacks a specific format or organization, making it difficult to categorize or analyze. It includes text documents, images, videos, and social media posts.
Contributors to Internet Data Volume
- Aside from user-generated content, the massive volume of data on the Internet is also driven by machine-generated data, such as sensor data, logs, and transactional records.
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Description
Explore the various processing topologies and types relevant to the Internet of Things (IoT) and the vast quantities of data generated by diverse sources, including user devices and non-human data generation sources. Gain insights into the challenges and methods for handling the massive volume of data on the Internet.
