When dealing with large datasets, which data loading technique is preferred for its efficiency?
- Bulk loading
- Random loading
- Sequential loading
- Serial loading
Bulk loading is preferred for its efficiency when dealing with large datasets. It involves loading data in large batches, which reduces overhead and improves performance compared to other loading techniques.
Loading...
Related Quiz
- Talend provides support for ________ data integration, allowing seamless integration with various big data technologies.
- ________ is a NoSQL database that is optimized for high availability and partition tolerance, sacrificing consistency under certain circumstances.
- Scenario: You need to perform complex data transformations on a large dataset in Apache Spark. Which transformation would you choose to ensure scalability and fault tolerance?
- ________ is a key aspect of data modeling best practices, involving the identification and elimination of redundant data.
- ________ is a data extraction technique that involves extracting data from semi-structured or unstructured sources, such as emails, documents, or social media.