SPIM Week 4

What are structured data?

• Data that is stored in an unorganized and random manner.

• Data that is organized into a specific format, making it easily searchable and analyzable.

• Data that consists of images and multimedia files.

• Data that is encrypted for security purposes

What is the primary difference between structured data and semi-structured data?

• Structured data follows a strict format and can be easily queried with SQL, while semi-structured data lacks a fixed format and is more challenging to query.

• Structured data is always numeric, while semi-structured data includes text and documents.

• Structured data is smaller in size, while semi-structured data is larger and requires more storage space.

• Structured data is primarily used in web development, while semi-structured data is used in traditional databases.

What are the characteristics of unstructured data?

• Unstructured data is highly organized and follows a specific schema.

• Unstructured data is typically stored in relational databases.

• Unstructured data lacks a fixed format and is not easily organized into rows and columns.

• Unstructured data is always text-based and never includes multimedia content.

Why is processing and analyzing security-related data challenging?

• Security data is always structured and easy to manage.

• Security data often comes from multiple diverse sources.

• Security data is typically small in volume.

• Security data may lack a standardized format and can be a mix of structured and unstructured data.

What is data normalization?

• Data normalization is the process of encrypting sensitive data to protect it from unauthorized access.

• Data normalization involves the conversion of data from its original format into a common standard format for consistency and efficient database management.

• Data normalization is the process of creating backups of data to prevent data loss.

• Data normalization is the act of reducing the size of a dataset to save storage space.

What is data correlation?

• Data correlation refers to the process of encrypting data for security purposes.

• Data correlation is the statistical technique used to determine the relationship between two or more variables.

• Data correlation is the process of data aggregation for reporting purposes.

• Data correlation involves analyzing data to identify relationships or associations between different variables, making it a fundamental aspect of data analysis and statistics.

What is data visualization?

• Data visualization is the process of encrypting data for secure storage.

• Data visualization is the act of creating visual representations of data to make complex information more understandable and accessible.

• Data visualization is the organization of data in a structured format for efficient storage.

• Data visualization is the process of identifying and eliminating data duplicates.

What is descriptive/diagnostic analytics?

• Descriptive/diagnostic analytics involves predicting future outcomes based on historical data.

• Descriptive/diagnostic analytics focuses on understanding and explaining past and current data trends and patterns.

• Descriptive/diagnostic analytics is all about examining historical data to gain insights into what has happened and why.

• Descriptive/diagnostic analytics primarily deals with real-time data processing and monitoring.

What is predictive analytics?

• Predictive analytics focuses on explaining past data patterns and trends.

• Predictive analytics involves the collection and storage of raw data.

• Predictive analytics uses historical data and statistical algorithms to make predictions about future events or outcomes.

• Predictive analytics is primarily concerned with real-time data processing.

What is prescriptive analytics?

• Prescriptive analytics focuses on explaining past data patterns and trends.

• Prescriptive analytics involves the collection and storage of raw data.

• Prescriptive analytics provides recommendations on the best actions to take based on predictive analytics and optimization techniques.

• Prescriptive analytics is primarily concerned with real-time data processing. and guiding future actions