________ is a distributed stream processing framework used for real-time data processing and analytics.
- Flink
- HBase
- Kafka
- Spark
Apache Flink is a distributed stream processing framework used for real-time data processing and analytics. Flink provides capabilities for handling continuous streams of data with low-latency processing, making it suitable for applications requiring real-time analytics, such as fraud detection, monitoring, and recommendation systems. Its support for event-time processing and state management enables complex stream processing workflows with fault tolerance and scalability.
Loading...
Related Quiz
- Scenario: After finalizing the logical data model for a new database, what would be your next step in the design process?
- Which technology is commonly used in big data storage solutions to process large datasets in memory across distributed computing clusters?
- Which component of Kafka is responsible for storing the published messages?
- What role does metadata play in ensuring data lineage accuracy and reliability?
- What is the primary purpose of an Entity-Relationship Diagram (ERD)?