Which type of data can often be represented as a combination of structured tables with metadata or annotations?
- Time Series Data
- Geospatial Data
- Semi-Structured Data
- Categorical Data
Semi-structured data is a type of data that falls between structured and unstructured data. It can often be represented as a combination of structured tables with additional metadata or annotations. This format provides some level of organization and makes it more manageable for analysis. Examples of semi-structured data include JSON, XML, and log files, which have some inherent structure but may also contain unstructured elements.
Loading...
Related Quiz
- Which variant of RNN is specifically designed to combat the problem of vanishing and exploding gradients?
- Which technology is NOT typically associated with real-time data processing?
- For an organization that needs real-time data analytics with live dashboard updates, which visualization tool would be the most appropriate?
- Which type of recommender system suggests items based on a user's past behavior and not on the context?
- An e-commerce platform wants to store the activities and interactions of users in real-time. The data is not structured, and the schema might evolve. Which database is apt for this scenario?